Reprojection optimization based on contextual luminance

Abstract

Aspects presented herein relate to methods, apparatuses, and apparatus for display processing. A device may obtain a first intensity map associated with first brightness information of a scene. The apparatus may also configure a second intensity map for display content associated with the scene based on the first intensity map and at least one coordinate frame from a perspective of a user of the device. The apparatus may also determine whether brightness information of at least one region in the second intensity map is within a suitable brightness range of display content associated with the scene. The device may also process a set of pixels corresponding to a section in the display associated with the at least one region based on the luminance information being at least one of within a suitable luminance range, outside the suitable luminance range, or within an undistinguishable luminance range.

Description

[0001] Cross-reference to related applications

[0002] This application claims the benefit and priority of U.S. Provisional Application Serial No. 63 / 498,800, filed April 27, 2023, entitled “REPROJECTION OPTIMIZATION FOR SPLIT ARCHITECTURES”, and U.S. Non-Provisional Patent Application Serial No. 18 / 521,414, filed November 28, 2023, entitled “REPROJECTION OPTIMIZATION BASED ON CONTEXTUAL BRIGHTNESS”, the entire contents of which are expressly incorporated herein by reference. Technical Field

[0003] This disclosure relates generally to processing systems, and more specifically, to one or more techniques for content reprojection in a split architecture. Background Technology

[0004] Computing devices typically perform graphics and / or display processing (e.g., utilizing a graphics processing unit (GPU), a central processing unit (CPU), a display processor, etc.) to render and display visual content. Such computing devices can include, for example, computer workstations, mobile phones (such as smartphones), embedded systems, personal computers, tablet computers, and video game consoles. A GPU is configured to execute a graphics processing pipeline that includes one or more processing stages that operate together to execute graphics processing commands and output frames. A CPU controls the operation of a GPU by issuing one or more graphics processing commands to it. Modern CPUs are typically capable of executing multiple applications concurrently, each of which may require the GPU during execution. A display processor is configured to convert digital information received from the CPU into analog values ​​and can issue commands to a display panel to display visual content. Devices that provide content for visual presentation on a display may utilize a GPU and / or a display processor.

[0005] The device's GPU can be configured to execute processes within the graphics processing pipeline. Additionally, a display processor or display processing unit (DPU) can be configured to perform display processing. However, with the advent of wireless communication and smaller handheld devices, the demand for improved graphics or display processing continues to increase. Summary of the Invention

[0006] The following is a simplified overview of one or more aspects to provide a basic understanding of such aspects. This invention is not a comprehensive overview of all anticipated aspects, nor is it intended to identify key or essential elements of all aspects, nor to depict the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed descriptions that follow.

[0007] In one aspect of this disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be any apparatus capable of performing display processing (e.g., a GPU, CPU, or DPU). The apparatus may obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene. Additionally, the apparatus may configure a second intensity map for display content associated with the scene based on the first intensity map and at least one coordinate frame from the perspective of a user of the device, wherein the second intensity map is associated with the brightness information of the scene. The apparatus may also determine whether the brightness information of at least one region in the second intensity map is within a suitable brightness range for the display content associated with the scene. Furthermore, the apparatus may identify segments in the display associated with the at least one region based on whether the brightness information of the at least one region is within or outside a suitable brightness range, and wherein processing a set of pixels includes processing the set of pixels based on the identification of segments in the display. The apparatus may also filter the brightness information of at least one region in the second intensity map if the brightness information of the at least one region is within a suitable brightness range. Furthermore, the device can process a set of pixels corresponding to a segment in the display associated with at least one region based on at least one of the following: the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or it can estimate a set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range. The device can also output an indication of the processed set of pixels or the estimated set of transformation parameters. The device can also transform the display content corresponding to at least one region in the second intensity map based on the estimated set of transformation parameters. The device can also adjust the position of the display content corresponding to at least one region in the second intensity map if at least one of the following occurs: (1) the frequency of change of the display coordinate set of the display content corresponding to at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to at least one region is greater than a size threshold.

[0008] Details of one or more examples of this disclosure are set forth in the accompanying drawings and the following description. Other features, objects, and advantages of this disclosure will become apparent from the description, the drawings, and the claims. Attached Figure Description

[0009] Figure 1 This is a block diagram illustrating the example content generation system.

[0010] Figure 2 An example graphics processing unit (GPU) is shown.

[0011] Figure 3 This is a diagram illustrating the example processing component.

[0012] Figure 4 This is a diagram illustrating a modular architecture.

[0013] Figure 5 It is a diagram illustrating an example scene associated with display processing or graphics processing.

[0014] Figure 6 It is a diagram illustrating an example scene associated with display processing or graphics processing.

[0015] Figure 7 It is a diagram illustrating an example scene associated with display processing or graphics processing.

[0016] Figure 8 This is a diagram illustrating the example processing flow.

[0017] Figure 9 This is a diagram illustrating the example processing flow.

[0018] Figure 10 It is a diagram illustrating an example scene associated with display processing or graphics processing.

[0019] Figure 11 This is a diagram illustrating the example processing flow.

[0020] Figure 12 This is a diagram illustrating the example processing flow.

[0021] Figure 13 This is a diagram illustrating the example processing flow.

[0022] Figure 14 This is a diagram illustrating the example processing flow.

[0023] Figure 15 This is a flowchart illustrating example communication between the GPU, CPU, and memory.

[0024] Figure 16 This is a flowchart showing an example of the processing method.

[0025] Figure 17 This is a flowchart showing an example of the processing method. Detailed Implementation

[0026] Aspects of a split architecture may include post-reprojection. For example, eye and depth frames may be rendered for each eye (left eye, right eye) on the accompanying device. Additionally, the device / glasses may receive these frames, decode them, process them, and / or transmit them to a display. Furthermore, the user may move during this time, and the rendered objects may appear in different locations in the scene than the user expects. To account for this user movement and minimize visual discrepancies, the device may warp the eye buffer based on the latest available pose information. In some respects, light / brightness-aware rendering can enhance the visual appeal of virtual content and make the scene more immersive. Additionally, virtual objects may have the complexity of varying visibility to the user under certain lighting conditions (e.g., lighting conditions assumed during rendering). However, when the scene's brightness changes significantly compared to the time of rendering, the user may not be able to discern these finer details in the virtual objects. For example, the reprojection pipeline may be unaware of these relative brightness changes, potentially leading to overcomputation. Aspects of this disclosure can reduce computational complexity in such cases (e.g., when the scene's brightness changes significantly compared to the time of rendering). By reducing computational complexity when scene brightness changes significantly compared to the rendering time, the aspects presented in this paper can reduce bandwidth on memory / interconnects. Furthermore, by reducing computational complexity when scene brightness changes significantly compared to the rendering time, the aspects presented in this paper can potentially allow for an overall reduction in power consumption.

[0027] The aspects presented in this paper can include several benefits or advantages. For example, the aspects presented in this paper can reduce computational complexity in situations such as when the brightness of the scene changes significantly compared to the rendering time. By reducing computational complexity when the brightness of the scene changes significantly compared to the rendering time, the aspects presented in this paper can reduce bandwidth on memory / interconnects. Furthermore, by reducing computational complexity when the brightness of the scene changes significantly compared to the rendering time, the aspects presented in this paper can potentially allow for an overall reduction in power consumption.

[0028] Various aspects of the systems, apparatuses, computer program products, and methods will be described more fully below with reference to the accompanying drawings. However, this disclosure may be embodied in many different forms and should not be construed as limited to any particular structure or function presented throughout this disclosure. Rather, these aspects are provided to make this disclosure comprehensive and complete, and to fully convey the scope of this disclosure to those skilled in the art. Based on the teachings herein, those skilled in the art will understand that the scope of this disclosure is intended to cover any aspect of the systems, apparatuses, computer program products, and methods disclosed herein, whether implemented independently of or in combination with other aspects of this disclosure. For example, any number of aspects set forth herein may be used to implement an apparatus or practice a method. Furthermore, the scope of this disclosure is intended to cover such apparatuses or methods practiced using structures, functionalities, or structures and functionalities other than or different from the various aspects of the disclosure set forth herein. Any aspect disclosed herein may be embodied by one or more elements of the claims.

[0029] Although various aspects are described herein, many variations and substitutions of these aspects fall within the scope of this disclosure. While some potential benefits and advantages of the aspects of this disclosure are mentioned, the scope of this disclosure is not intended to be limited to a particular benefit, use, or objective. Rather, the aspects of this disclosure are intended to be broadly applicable to different wireless technologies, system configurations, networks, and transmission protocols, some of which are illustrated by way of example in the accompanying drawings and the description below. The detailed description and drawings are merely illustrative and not limiting of this disclosure, and the scope of this disclosure is defined by the appended claims and their equivalents.

[0030] Several aspects are presented with reference to various apparatuses and methods. These apparatuses and methods are described in detail and illustrated in the accompanying drawings by various blocks, components, circuits, processes, algorithms, etc. (collectively referred to as "elements"). These elements can be implemented using electronic hardware, computer software, or any combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system.

[0031] For example, an element, any part of an element, or any combination of elements can be implemented as a “processing system” including one or more processors (which may also be referred to as processing units). Examples of processors include microprocessors, microcontrollers, graphics processing units (GPUs), general-purpose GPUs (GPGPUs), central processing units (CPUs), application processors, digital signal processors (DSPs), reduced instruction set computing (RISC) processors, system-on-a-chip (SoCs), baseband processors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), programmable logic devices (PLDs), state machines, gated logic devices, discrete hardware circuits, and other suitable hardware configured to perform the various functionalities described in this disclosure. One or more processors in the processing system can execute software. Software can be broadly interpreted as instructions, instruction sets, code, code segments, program code, programs, subroutines, software components, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether expressed in terms of software, firmware, middleware, microcode, hardware description languages, or other terms. The term “application” can refer to software. As described herein, one or more technologies can refer to an application, i.e., software, configured to perform one or more functions. In such examples, the application may be stored on memory (e.g., on-chip memory of a processor, system memory, or any other memory). Hardware described herein, such as a processor, may be configured to execute the application. For example, an application may be described as including code that, when executed by the hardware, causes the hardware to perform one or more technologies described herein. As an example, the hardware may access and execute code accessed from memory to perform one or more technologies described herein. In some examples, components are identified in this disclosure. In such examples, a component may be hardware, software, or a combination thereof. Each component may be a separate component or a subcomponent of a single component.

[0032] Therefore, in one or more examples described herein, the described functionality may be implemented in hardware, software, or any combination thereof. If implemented in software, the functionality may be stored or encoded as one or more instructions or code on a computer-readable medium. Computer-readable media includes computer storage media. Storage media can be any available medium accessible to a computer. By way of example and not limitation, such computer-readable media may include random access memory (RAM), read-only memory (ROM), electrically erasable programmable ROM (EEPROM), optical disc storage devices, magnetic disk storage devices, other magnetic storage devices, combinations of computer-readable media of the types described above, or any other medium capable of being used to store computer-executable code in the form of instructions or data structures accessible to a computer.

[0033] In summary, this disclosure describes techniques for having a graphics processing pipeline in a single device or multiple devices, thereby improving the rendering of graphics content and / or reducing the load on processing units (i.e., any processing unit, such as a GPU, configured to perform one or more of the techniques described herein). For example, this disclosure describes techniques for performing graphics processing in any device that utilizes graphics processing. Other example benefits are described throughout this disclosure.

[0034] As used herein, instances of the term "content" can refer to "graphic content," "image," or vice versa. This is true regardless of whether these terms are used as adjectives, nouns, or other parts of speech. In some examples, as used herein, the term "graphic content" can refer to content produced by one or more processes in a graphics processing pipeline. In some examples, as used herein, the term "graphic content" can refer to content produced by a processing unit configured to perform graphics processing. In some examples, as used herein, the term "graphic content" can refer to content produced by a graphics processing unit.

[0035] In some examples, as used herein, the term "display content" can refer to content generated by a processing unit configured to perform display processing. Graphical content can be processed to become display content. For example, a graphics processing unit can output graphical content (such as frames) to a buffer (which may be referred to as a frame buffer). A display processing unit can read graphical content (such as one or more frames) from the buffer and perform one or more display processing techniques on that display processing unit to generate display content. For example, a display processing unit can be configured to perform compositing on one or more rendering layers to generate frames. As another example, a display processing unit can be configured to composite, blend, or otherwise combine two or more layers into a single frame. A display processing unit can be configured to perform scaling on frames, such as zooming in or out. In some examples, a frame can refer to a layer. In other examples, a frame can refer to two or more layers that have been blended together to form the frame, i.e., the frame comprises two or more layers, and the frame comprising two or more layers can be subsequently blended.

[0036] Figure 1This is a block diagram illustrating an example content generation system 100 configured to implement one or more technologies of the present disclosure. The content generation system 100 includes a device 104. Device 104 may include one or more components or circuitry for performing the various functions described herein. In some examples, one or more components of device 104 may be components of a System-on-a-Chip (SOC). Device 104 may include one or more components configured to perform one or more technologies of the present disclosure. In the illustrated example, device 104 may include a processing unit 120, a content encoder / decoder 122, and system memory 124. In some aspects, device 104 may include several components, such as a communication interface 126, a transceiver 132, a receiver 128, a transmitter 130, a display processor 127, and one or more displays 131. A reference to display 131 may refer to one or more displays 131. For example, display 131 may include a single display or multiple displays. Display 131 may include a first display and a second display. The first display may be a left-eye display, and the second display may be a right-eye display. In some examples, the first and second displays may receive different frames for presentation on the first and second displays. In other examples, the first and second displays may receive the same frames used for rendering on both displays. In further examples, the results of graphics processing may not be displayed on the devices; for example, the first and second displays may not receive any frames used for rendering on them. Instead, the frames or graphics processing results may be transferred to another device. In some respects, this is referred to as split rendering.

[0037] Processing unit 120 may include internal memory 121. Processing unit 120 may be configured to perform graphics processing, such as in a graphics processing pipeline 107. Content encoder / decoder 122 may include internal memory 123. In some examples, device 104 may include a display processor (such as display processor 127) to perform one or more display processing techniques on one or more frames generated by processing unit 120 prior to presentation by one or more displays 131. Display processor 127 may be configured to perform display processing. For example, display processor 127 may be configured to perform one or more display processing techniques on one or more frames generated by processing unit 120. One or more displays 131 may be configured to display or otherwise present the frames processed by display processor 127. In some examples, one or more displays 131 may include one or more of the following: liquid crystal display (LCD), plasma display, organic light-emitting diode (OLED) display, projection display device, augmented reality display device, virtual reality display device, head-mounted display, or any other type of display device.

[0038] Memory (such as system memory 124) external to processing unit 120 and content encoder / decoder 122 may be accessible to processing unit 120 and content encoder / decoder 122. For example, processing unit 120 and content encoder / decoder 122 may be configured to read from and / or write to external memory (such as system memory 124). Processing unit 120 and content encoder / decoder 122 may be communicatively coupled to system memory 124 via a bus. In some examples, processing unit 120 and content encoder / decoder 122 may be communicatively coupled to each other via the bus or a different connection.

[0039] Content encoder / decoder 122 can be configured to receive graphic content from any source, such as system memory 124 and / or communication interface 126. System memory 124 can be configured to store received encoded or decoded graphic content. Content encoder / decoder 122 can be configured to receive encoded or decoded graphic content from system memory 124 and / or communication interface 126, for example, in the form of encoded pixel data. Content encoder / decoder 122 can be configured to encode or decode any graphic content.

[0040] Internal memory 121 or system memory 124 may include one or more volatile or non-volatile memories or storage devices. In some examples, internal memory 121 or system memory 124 may include RAM, SRAM, DRAM, erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic data media or optical storage media or any other type of memory.

[0041] According to some examples, internal memory 121 or system memory 124 may be a non-transitory storage medium. The term "non-transitory" may indicate that the storage medium is not embodied in a carrier wave or propagating signal. However, the term "non-transitory" should not be construed as meaning that internal memory 121 or system memory 124 is immovable or that its contents are static. For example, system memory 124 may be removed from device 104 and moved to another device. Alternatively, system memory 124 may not be removable from device 104.

[0042] Processing unit 120 may be a central processing unit (CPU), a graphics processing unit (GPU), a general-purpose GPU (GPGPU), or any other processing unit configured to perform graphics processing. In some examples, processing unit 120 may be integrated into the motherboard of device 104. In some examples, processing unit 120 may reside on a graphics card mounted in a port on the motherboard of device 104, or may otherwise be incorporated into a peripheral device configured to interoperate with device 104. Processing unit 120 may include one or more processors, such as one or more microprocessors, GPUs, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), arithmetic logic units (ALUs), digital signal processors (DSPs), discrete logic components, software, hardware, firmware, other equivalent integrated or discrete logic circuits, or any combination thereof. If the technology is partially implemented in software, processing unit 120 may store instructions for software in a suitable non-transitory computer-readable storage medium (e.g., internal memory 121) and may use one or more processors to execute instructions in hardware to perform the technology of this disclosure. Any of the above (including hardware, software, and combinations of hardware and software, etc.) can be considered as one or more processors.

[0043] The content encoder / decoder 122 can be any processing unit configured to perform content decoding. In some examples, the content encoder / decoder 122 may be integrated into the motherboard of device 104. The content encoder / decoder 122 may include one or more processors, such as one or more microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), arithmetic logic units (ALUs), digital signal processors (DSPs), video processors, discrete logic components, software, hardware, firmware, other equivalent integrated or discrete logic circuits, or any combination thereof. If the technology is partially implemented in software, the content encoder / decoder 122 may store instructions for software in a suitable non-transitory computer-readable storage medium (e.g., internal memory 123) and may use one or more processors to execute instructions in hardware to perform the technology of this disclosure. Any of the foregoing (including hardware, software, combinations of hardware and software, etc.) can be considered as one or more processors.

[0044] In some aspects, the content generation system 100 may include a communication interface 126. The communication interface 126 may include a receiver 128 and a transmitter 130. The receiver 128 may be configured to perform any of the receiving functions described herein with respect to device 104. Additionally, the receiver 128 may be configured to receive information from another device, such as eye or head positioning information, rendering commands, or location information. The transmitter 130 may be configured to perform any of the transmitting functions described herein with respect to device 104. For example, the transmitter 130 may be configured to transmit information to another device, which may include a request for content. The receiver 128 and the transmitter 130 may be combined to form a transceiver 132. In such an example, the transceiver 132 may be configured to perform any of the receiving and / or transmitting functions described herein with respect to device 104.

[0045] Refer again Figure 1In some aspects, processing unit 120 may include a reprojection component 198 configured to obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene. The reprojection component 198 may also be configured to configure a second intensity map for scene-associated display content based on the first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the scene's brightness information. The reprojection component 198 may also be configured to determine whether the brightness information of at least one region in the second intensity map is within a suitable brightness range for the scene-associated display content. The reprojection component 198 may also be configured to identify segments in the display associated with the at least one region based on whether the brightness information of the at least one region is within or outside a suitable brightness range, and wherein processing a set of pixels includes processing the set of pixels based on the identification of segments in the display. The reprojection component 198 may also be configured to filter the brightness information of at least one region in the second intensity map if the brightness information of the at least one region is within a suitable brightness range. The reprojection component 198 can also be configured to: process a set of pixels corresponding to a segment in the display associated with at least one region based on whether the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or estimate a set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range. The reprojection component 198 can also be configured to output an indication of the processed set of pixels or the estimated set of transformation parameters. The reprojection component 198 can also be configured to transform the display content corresponding to at least one region in the second intensity map based on the estimated set of transformation parameters. The reprojection component 198 can also be configured to adjust the position of the display content corresponding to at least one region in the second intensity map if at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to at least one region is greater than a size threshold.

[0046] Although the following description may focus on display processing, the concepts described herein are applicable to other similar processing techniques.

[0047] As described herein, a device such as device 104 can refer to any device, apparatus, or system configured to perform one or more of the technologies described herein. For example, a device can be a server, base station, user equipment, client device, station, access point, computer (e.g., personal computer, desktop computer, laptop computer, tablet computer, computer workstation, or mainframe computer), end product, apparatus, telephone, smartphone, server, video game platform or console, handheld device (e.g., portable video game device or personal digital assistant (PDA)), wearable computing device (e.g., smartwatch, augmented reality device, or virtual reality device), non-wearable device, display or display device, television, set-top box, intermediate network device, digital media player, video streaming device, content streaming device, in-vehicle computer, any mobile device, any device configured to generate graphical content, or any device configured to perform one or more of the technologies described herein. The processes described herein may be described as being performed by a specific component (e.g., GPU), but in further embodiments, other components consistent with the disclosed embodiments (e.g., CPU) may be used to perform them.

[0048] A GPU can process various types of data or data packets within its pipeline. For example, in some aspects, a GPU can process two types of data or data packets, such as context register packets and draw call data. Context register packets can be a collection of global state information, such as information about global registers, shaders, or constant data, which can regulate how the graphics context will be handled. For example, a context register packet may include information about the color format. In some aspects of a context register packet, there may be bits indicating which workload belongs to the context register. Additionally, there may be multiple functions or programs running simultaneously and / or in parallel. For example, a function or program may describe an operation, such as a color mode or color format. Therefore, context registers can define multiple states of the GPU.

[0049] Context states can be used to determine how individual processing units (e.g., vertex extractors (VFDs), vertex shaders (VSs), shader processors, or geometry processors) operate and / or in which mode a processing unit operates. For this purpose, the GPU can use context registers and programming data. In some aspects, the GPU can generate workloads (e.g., vertex or pixel workloads) in the pipeline based on the context register definitions of modes or states. Certain processing units (e.g., VFDs) can use these states to determine certain functions, such as how to assemble vertices. Because these modes or states can change, the GPU may need to modify the corresponding context. Additionally, the workload corresponding to a mode or state may follow the changed mode or state.

[0050] Figure 2 Example GPU 200 is illustrated according to one or more technologies according to this disclosure. For example... Figure 2 As shown, GPU 200 includes a command processor (CP) 210, a draw call group 212, a VFD 220, a VS 222, a vertex cache (VPC) 224, a triangle setup engine (TSE) 226, a rasterizer (RAS) 228, a Z-process engine (ZPE) 230, a pixel interpolator (PI) 232, a fragment shader (FS) 234, a rendering backend (RB) 236, a level 1 (L1) cache (clustered cache (CCHE)) 237, a level 2 (L2) cache (UCHE) 238, and system memory 240. Although Figure 2 The GPU 200 shown includes processing units 220 to 238, but the GPU 200 may include multiple additional processing units. Additionally, processing units 220 to 238 are merely examples, and any combination or order of processing units may be used in the GPU according to this disclosure. The GPU 200 also includes a command buffer 250, a context register group 260, and a context state 261.

[0051] like Figure 2 As shown, the GPU can use a CP (e.g., CP 210) or a hardware accelerator to resolve the command buffer into context register groups (e.g., context register group 260) and / or draw call data groups (e.g., draw call group 212). Subsequently, CP 210 can transfer the context register group 260 or the draw call group 212 to a processing unit or block in the GPU via a separate path. Furthermore, the command buffer 250 can alternate between different states of the context registers and draw calls. For example, the command buffer can be constructed as follows: context register of context N, draw call of context N, context register of context N+1, and draw call of context N+1.

[0052] GPUs can render images in several different ways. In some cases, GPUs can render images using both rendering and / or tiled rendering. In a tiled rendering GPU, an image can be divided or segmented into different sections or tiles. After the image is divided, each section or tile can be rendered individually. A tiled rendering GPU can divide a computer graphics image into a grid format so that each part of the grid (i.e., a tile) is rendered individually. In some aspects, during the binning process, an image can be divided into different bins or tiles. In some aspects, during the binning process, a visibility stream can be constructed, where visible primitives or draw calls can be identified. In contrast to tiled rendering, direct rendering does not divide a frame into smaller bins or tiles. Instead, in direct rendering, the entire frame is rendered at once. Additionally, some types of GPUs allow both tiled rendering and direct rendering.

[0053] Instructions executed by the CPU (e.g., software instructions) or by the display processor can cause the CPU or display processor to search for and / or generate compositing strategies for compositing frames based on dynamic priorities and runtime statistics associated with one or more compositing strategy groups. A frame to be displayed by a physical display device (such as a display panel) may include multiple layers. Furthermore, frame compositing may be based on combining multiple layers into a frame (e.g., based on a frame buffer). After combining the multiple layers into a frame, the frame can be provided to the display panel for display on that display panel. The process of combining each of the multiple layers into a frame may be referred to as compositing, frame compositing, compositing process, compositing handling, etc.

[0054] A frame compositing process or strategy can correspond to a technique used to combine different layers from multiple layers into a single frame. Multiple layers can be stored in double data rate (DDR) memory. Each of the multiple layers can further correspond to a separate buffer. A compositor or hardware compositor (HWC) associated with a block or function determines the input to each layer / buffer and performs the frame compositing process to generate an output indicating the composite frame. That is, the input can be layers, and the output can be a frame compositing process used to synthesize the frame to be displayed on a display panel.

[0055] Figure 3 This is a block diagram 300 illustrating an example display frame including a processing unit 120, system memory 124, display processor 127, and display 131, as identified by incorporable device 104.

[0056] A GPU may be included in a device that provides content for visual presentation on a display. For example, processing unit 120 may include GPU 310 configured to render graphics data for display on a computing device (e.g., device 104), which may be a computer workstation, mobile phone, smartphone or other intelligent device, embedded system, personal computer, tablet computer, video game console, etc. The operation of GPU 310 may be controlled based on one or more graphics processing commands provided by CPU 315. CPU 315 may be configured to execute multiple applications concurrently. In some cases, each of the concurrently executing applications may utilize GPU 310 simultaneously. Processing techniques may be executed by outputting frames over a physical or wireless communication channel via processing unit 120.

[0057] System memory 124, executable by processing unit 120, may include user space 320 and kernel space 325. User space 320 (sometimes referred to as "application space") may include software applications and / or application frameworks. For example, software applications may include operating systems, media applications, graphics applications, workspace applications, etc. Application frameworks may include frameworks used by one or more software applications, such as libraries, services (e.g., display services, input services, etc.), application programming interfaces (APIs), etc. Kernel space 325 may further include display driver 330. Display driver 330 may be configured to control display processor 127. For example, display driver 330 may cause display processor 127 to synthesize frames and send data of the frames to the display.

[0058] Display processor 127 includes display control block 335 and display interface 340. Display processor 127 can be configured to (e.g., based on input received from display driver 330) manipulate the functions of display 131. Display control block 335 can be further configured to output image frames to display 131 via display interface 340. In some examples, display control block 335 may additionally or alternatively perform post-processing of image data provided based on the processing unit 120's execution of system memory 124.

[0059] Display interface 340 can be configured to cause display 131 to display image frames. Display interface 340 can output image data to display 131 according to an interface protocol, such as, for example, MIPI DSI (Mobile Industry Processor Interface, Display Serial Interface) . That is, display 131 can be configured according to the MIPI DSI standard. The MIPI DSI standard supports video mode and command mode. In an example where display 131 operates in video mode, display processor 127 can continuously refresh the graphic content of display 131. For example, the entire graphic content can be refreshed in each refresh cycle (e.g., line by line). In an example where display 131 operates in command mode, display processor 127 can write the graphic content of a frame to buffer 350.

[0060] In some such examples, display processor 127 may not continuously refresh the graphics content of display 131. Instead, display processor 127 may use a vertical sync (Vsync) pulse to coordinate the rendering and consumption of graphics content at buffer 350. For example, when a Vsync pulse is generated, display processor 127 may output new graphics content to buffer 350. Thus, the generation of a Vsync pulse indicates that current graphics content has been rendered at buffer 350.

[0061] A frame is displayed on the monitor 131 based on the display controller 345, the display client 355, and the buffer 350. The display controller 345 can receive image data from the display interface 340 and store the received image data in the buffer 350. In some examples, the display controller 345 can output the image data stored in the buffer 350 to the display client 355. Therefore, the buffer 350 can represent local memory of the monitor 131. In some examples, the display controller 345 can directly output the image data received from the display interface 340 to the display client 355.

[0062] Display client 355 may be associated with a touch panel that senses interaction between the user and display 131. When the user interacts with display 131, one or more sensors in the touch panel may output signals to display controller 345 indicating which of the one or more sensors is active, the duration of the sensor activity, the pressure applied to the one or more sensors, etc. Display controller 345 may use the sensor outputs to determine how the user interacts with display 131. Display 131 may further be associated with / include other devices such as cameras, microphones, and / or speakers that operate in conjunction with display client 355.

[0063] Some processing techniques of device 104 can be performed through three stages (e.g., stage 1: rendering stage; stage 2: compositing stage; and stage 3: display / transfer stage). However, other processing techniques can combine the compositing stage and the display / transfer stage into a single stage, allowing the processing technique to be performed based on a total of two stages (e.g., stage 1: rendering stage; and stage 2: compositing / display / transfer stage). During the rendering stage, GPU 310 can process the content buffer based on the execution of the application that generates content on a pixel-by-pixel basis. During the compositing and display stages, pixel elements can be assembled to form a frame, which is then transferred to the physical display panel / subsystem (e.g., display 131) that displays the frame.

[0064] Instructions executed by the CPU (e.g., software instructions) or by the display processor can cause the CPU or display processor to search for and / or generate compositing strategies for compositing frames based on dynamic priorities and runtime statistics associated with one or more compositing strategy groups. A frame to be displayed by a physical display device (such as a display panel) may include multiple layers. Furthermore, frame compositing may be based on combining multiple layers into a frame (e.g., based on a frame buffer). After combining the multiple layers into a frame, the frame can be provided to the display panel for display on that display panel. The process of combining each of the multiple layers into a frame may be referred to as compositing, frame compositing, compositing process, compositing handling, etc.

[0065] A frame compositing process or strategy can correspond to a technique used to combine different layers from multiple layers into a single frame. Multiple layers can be stored in double data rate (DDR) memory. Each of the multiple layers can further correspond to a separate buffer. A compositor or hardware compositor (HWC) associated with a block or function determines the input to each layer / buffer and performs the frame compositing process to generate an output indicating the composite frame. That is, the input can be layers, and the output can be a frame compositing process used to synthesize the frame to be displayed on a display panel.

[0066] Some aspects of display processing can utilize different types of mask layers, such as shape masks. A mask layer is a layer that can represent a portion of a display or display panel. For example, an area of ​​the mask layer may correspond to an area of ​​the display, but the entire mask layer can depict a portion of the content actually displayed on the display or panel. For example, a mask layer may include a top and bottom portion of the display area, but the middle portion of the mask layer may be empty. In some examples, multiple mask layers may exist to represent different portions of the display area. Furthermore, for certain portions of the display area, the contents of different mask layers may overlap each other. Therefore, a mask layer can represent a portion of the display area that may or may not overlap with other mask layers.

[0067] Figure 4 This is diagram 400 illustrating an example of a modular architecture. More specifically, Figure 4 A general-purpose split architecture 402 is described, such as a split augmented reality (AR) architecture or a split extended reality (XR) architecture. For example... Figure 4 As shown, the diagram 400, which includes a general split architecture 402, includes several different steps, such as: rendering 412, encoding 414, grouping 416, unpacking 422, decoding 424, processing / transforming 426, and displaying 428. Figure 4 The accompanying System-on-Chip (SoC) 410 is shown to perform rendering 412, encoding 414, and grouping 416 steps. Additionally, the glasses / device SoC 420 can perform unpacking 422, decoding 424, processing / transformation 426, and display 428 steps. Furthermore, Figure 4 The diagram illustrates a first time step (t1), a second time step (t2), and a third time step (t3). The first time step (t1) can occur during the rendering step 412, the second time step (t2) can occur during the processing / transformation step 426, and the third time step (t3) can occur during the display step 428. Furthermore, a Wi-Fi connection (e.g., Wi-Fi 430) can exist between the processing steps at the companion SoC 410 and the processing steps at the glasses / device SoC 420. Figure 4The diagram also depicts different eyes and depths in the display device within a split AR architecture. For example, Figure 400 shows the right eye (RE), right depth (RD), left eye (LE), and left depth (LD). Figure 4 As shown, the steps for right eye (RE), right depth (RD), left eye (LE), and left depth (LD) can occur during processing steps at the companion SoC 410 and at the glasses / device SoC 420.

[0068] like Figure 4 As shown, the companion SoC 410 can first perform the rendering step 412. This step can occur during a first time period (t1). After the rendering step 412, the companion SoC 410 can perform the encoding step 414. In some cases, the data / content associated with the image / frame can be encoded during encoding 414. After the encoding step 414, the data / content can then undergo a packetization step 416 (e.g., a packetization process or a Real-Time Transport Protocol (RTP) packetization process). During the packetization process, the data / content can be converted into one or more frames. The frames can then be sent from the companion SoC 410 to the glasses / device SoC 420. Figure 4 As shown, this transmission can be performed via Wi-Fi 430. In some cases, frames can be transmitted via a network protocol (e.g., User Datagram Protocol (UDP) Internet Protocol (IP) network protocol). Frames can be received on the glasses / device SoC 420 (e.g., via UDP / IP network protocol). Frames can also undergo unpacking step 422 or an unpacking process (e.g., Real-Time Transport Protocol (RTP) unpacking process), which can convert data packets into data / content. After unpacking, the data / content can be decoded during decoding step 424. After decoding, the glasses / device SoC 420 can undergo processing / transformation step 426. Finally, the decoded data / content can be transmitted to a display 428 (e.g., a headset or HMD) for display.

[0069] like Figure 4 The described aspects of the split architecture can also include later reprojection. For example, such as... Figure 4 As shown, eye and depth frames can be rendered for each eye (left and / or right eye) on the accompanying device at certain time instances (e.g., at time t1). Additionally, as... Figure 4As shown, the device / glasses (e.g., glasses / device SoC 420) can receive and unpack these frames in unpacking step 422, decode the frames in decoding step 424, process the frames in processing / transformation step 426 (e.g., at time t2), and / or transmit the frames to the display in display step 428 (e.g., at time t3). Furthermore, the user may move or adjust their positioning during this time, and the rendered objects may appear in different locations in the scene than the user expects. Figure 5 As further shown, in order to take into account the user's motion and minimize visual differences, the device can warp the eye buffer based on the latest available pose information. For example, the glasses / device SoC 420 can undergo processing / transformation step 426 (e.g., at time t2).

[0070] In some respects, certain types of rendering (e.g., light / brightness-aware rendering) can enhance visual content. For example, light / brightness-aware rendering can enhance the visual appeal of virtual content and make scenes more immersive. Additionally, virtual objects can have the complexity of varying visibility to the user under certain lighting conditions (e.g., lighting conditions assumed during rendering). However, when the brightness of the scene changes significantly (e.g., changes compared to the time of rendering), the user may not be able to discern some of the finer details in the virtual objects. For example, a reprojection pipeline might be unaware of any relative brightness changes, potentially leading to overcomputation. Based on the above, reducing computational complexity in such cases can be beneficial. For example, reducing computational complexity in a split-architecture rendering system during changes in relative brightness can be beneficial. Furthermore, reducing computational load during these situations (e.g., changes in relative brightness) can be beneficial.

[0071] The aspects of this disclosure can reduce computational complexity in certain situations. For example, the aspects presented herein can reduce computational complexity in a split-architecture rendering system when the brightness of the scene changes significantly compared to the rendering time. By reducing the computational complexity of the split-architecture rendering system (e.g., when the brightness of the scene changes significantly compared to the rendering time), the aspects presented herein can reduce bandwidth on memory or interconnects. Furthermore, by reducing computational complexity when the brightness of the scene changes (e.g., changes significantly) compared to the rendering time, the aspects presented herein can potentially allow for an overall reduction in power consumption. Therefore, the aspects presented herein can reduce computational complexity at the device level in a split-architecture rendering system and / or reduce the total power consumption at the device level in a split-architecture rendering system.

[0072] The aspects presented in this paper can utilize a method to reduce the computational complexity at the device level in a split rendering architecture during certain situations, such as when the scene's brightness changes significantly compared to the time of rendering. For example, the aspects presented in this paper can obtain a brightness map (e.g., a brightness map obtained from a camera sensor). This brightness map can help determine the brightness in the scene, which can help identify when the scene's brightness will change significantly. The brightness map obtained from the camera sensor can be transformed based on eye / display coordinate frames to generate an updated brightness map (e.g., brightness map b1). The updated brightness map can also be processed by the application engine to determine a threshold boundary (e.g., threshold boundary b2) based on the type of content being generated. Thereafter, the warp engine can sample the brightness map (b1 or threshold boundary b2) of the portion containing the mesh (e.g., the mesh that the warp engine is currently processing). In some aspects, if the brightness level is within the threshold limit in that region, the warp engine can continue processing all pixels in the mesh according to the selected warp process (e.g., warp process w1). In some respects, if the brightness level is outside a threshold limit, the warp engine can process the set of pixels (e.g., major pixels) according to the selected warp process (e.g., warp process w1). For the remaining pixels in the mesh, the warp engine can interpolate the values ​​of the minor pixels based on the major pixels. In some cases, there may be potentially large variations in brightness intensity in the scene. In these cases, the warp engine can avoid processing all samples in the selected mesh, thus avoiding significant computational and / or power consumption.

[0073] The aspects presented in this paper involve reprojection optimization based on contextual brightness. In some cases, virtual objects may have complexities in terms of changes visible to the user during rendering under certain lighting conditions. One issue is that the brightness of the scene may change significantly compared to the time of rendering. The reprojection pipeline may not be aware of these relative brightness changes, which could lead to overcomputation. The aspects presented in this paper can utilize a brightness map obtained from a camera sensor, which can be transformed based on eye / display coordinate frames to generate a new brightness map (b1). This map can also be processed by the application engine to determine threshold boundaries based on the type of content being generated (b2). Additionally, the GPU / warp engine can sample the brightness map (b1 or b2) of the portion of the mesh that the GPU / warp engine is currently processing. Depending on the brightness level and whether the brightness level is within certain threshold limits of the region, the GPU / warp engine can decide to process all pixels or a subset of pixels according to the selected warp process (w1). The aspects presented in this paper can reduce computational complexity and / or reduce memory / interconnect bandwidth, which can lead to an overall reduction in power consumption at the device.

[0074] Figure 5These are illustrations 500 and 510, respectively illustrating example scenarios associated with display processing and / or graphics processing. More specifically, Figure 5 Example environment scene 502 in diagram 500 and example environment scene 512 in diagram 510 are depicted. Figure 5 As shown, Figure 500 depicts an environmental scene 502 including objects 504 (e.g., trees and buildings). Similarly, Figure 510 depicts an environmental scene 512 including objects 514 (e.g., trees and buildings). However, unlike Figure 500, the environmental scene 512 in Figure 510 includes an eye / monitor alignment brightness map. Figure 6 As shown, the eye / monitor alignment luminance map in environmental scene 512 includes various luminance measurements. These luminance measurements measure the luminance level at various points in environmental scene 512. Furthermore, the luminance measurements in the eye / monitor alignment luminance map allow for the determination or measurement of luminance intensity variations within the scene, as presented herein.

[0075] Figure 6 These are illustrations 600 and 610, respectively illustrating example scenarios associated with display processing and / or graphics processing. More specifically, Figure 6 Example environment scene 602 in diagram 600 and example environment scene 612 in diagram 610 are depicted. Figure 6 As shown, environment scene 602 includes virtual objects 604 (e.g., buildings) and lights 606. Similarly, environment scene 612 includes virtual objects 614 (e.g., buildings) and lights 616. Figure 7 As shown, Figure 600 depicts an environment scene 602 where light 606 (e.g., ambient light) is on when rendering virtual object 604. Therefore, virtual object 604 is visible. Furthermore, Figure 610 depicts an environment scene 612 where light 616 (e.g., ambient light) is off during display time. Thus, virtual object 614 is not visible. In fact, as shown in Figure 610, because light 616 is off during display time, virtual object 614 may not be displayed for the immersive experience (i.e., the virtual object is invisible).

[0076] Figure 7 These are illustrations 700 and 710, respectively illustrating example scenarios associated with display processing and / or graphics processing. More specifically, Figure 7 Example scene 702 in diagram 700 and example scene 712 in diagram 710 are depicted. Each of these scenes includes several similar objects. For example, scene 702 includes a sun 704 and a door 706, while scene 712 includes a sun 704, a door 706, and a virtual object 708. Figure 8As shown, Figure 700 depicts scene 702 including the sun 704, where the door 706 is closed during rendering. Furthermore, Figure 710 depicts scene 712 including the sun 704, the door 706, and the virtual object 708, where the door 706 is open during display. In Figure 710, finer details of the design may not be discernible due to the light emanating from the sun 704.

[0077] Figure 8 This is diagram 800 illustrating an example processing flow. More specifically, Figure 8 A process flow 802 for reprojection optimization according to various aspects of this disclosure is described. For example... Figure 8 As shown, Figure 800 includes a sensor 810 (which includes a camera sensor 812), a brightness map 820, a computer vision processor 830, an eye / display alignment brightness map 840, a GPU 850, an input frame 860, an output distorted frame 870, and a display 880. Figure 9 As depicted, sensor 810, including camera sensor 812, can transmit a brightness map 820 to computer vision processor 830. Based on this, computer vision processor 830 can configure or determine an eye / display alignment brightness map (e.g., eye / display alignment brightness map 840). Subsequently, computer vision processor 830 can then transmit the eye / display alignment brightness map 840 to GPU 850. GPU 850 can similarly obtain the eye / display alignment brightness map 840 and at least one input frame (e.g., input frame 860) to generate an output distorted frame (e.g., an output distorted frame). GPU 850 can then transmit the output distorted frame 870 to display 880. Display 880 can then display the output distorted frame 870. Process flow 802 in Figure 800 depicts a reprojection optimization process according to the aspects presented herein.

[0078] Figure 9 This is diagram 900 illustrating another example processing flow. More specifically, Figure 9 A process flow 902 for reprojection optimization according to various aspects of this disclosure is described. For example... Figure 9 As shown, diagram 900 includes sensor intensity diagram 910, coordinate transformation process 920, eye / display coordinate alignment brightness diagram 930, display grid 940, GPU / distortion engine 950, input frame 960, and display resolution grid 970. Figure 9 The depicted sensor intensity map 910 can be transmitted to a coordinate transformation process 920, which can generate an eye / display coordinate alignment brightness map 930. The eye / display coordinate alignment brightness map 930 can include different areas within the display grid covered by the eye / display coordinate alignment brightness map 930. For example... Figure 9As shown, the area (e.g., grid region) in the display grid 940 covered by the luminance map (e.g., eye / display coordinate aligned luminance map 930) can include different types of pixels (e.g., primary pixels (p) and secondary pixels (s)). Figure 10 The image shows a magnified view of display grid 940. Eye / display coordinate alignment with luminance map 930 and input frame 960 can be obtained by GPU / warp engine 950. If the luminance in a grid region (e.g., a region in display grid 940) is within a threshold range (e.g., a luminance threshold), GPU / warp engine 950 can warp all pixels in the corresponding display grid region (e.g., a region in display resolution grid 970). If the luminance in a grid region (e.g., a region in display grid 940) is outside a threshold range (e.g., a luminance threshold), GPU / warp engine 950 can warp a subset of pixels (e.g., primary pixels) and / or interpolate other pixels (e.g., secondary pixels) in the display grid region (e.g., a region in display resolution grid 970). If the luminance in a grid region (e.g., a region in display grid 940) is within an indistinguishable range (e.g., less than a minimum luminance threshold and greater than a maximum luminance threshold), GPU / warp engine 950 can avoid warping (i.e., not warp) pixels in the corresponding display grid region (e.g., a region in display resolution grid 970). This warping process, performed by the GPU / Twist Engine 950, can produce a display resolution grid of 970.

[0079] The aspects presented herein may include several benefits or advantages. For example, the aspects presented herein can reduce the computational complexity of a split-architecture rendering architecture in certain situations (e.g., when the brightness of the scene changes significantly compared to the rendering time). By reducing the computational complexity of a split-architecture rendering architecture (e.g., when the brightness of the scene changes significantly compared to the rendering time), the aspects presented herein can reduce bandwidth on memory or interconnects. Furthermore, by reducing computational complexity when the brightness of the scene changes (e.g., changes significantly) compared to the rendering time, the aspects presented herein can potentially allow for an overall reduction in power consumption. Therefore, the aspects presented herein can reduce computational complexity at the device level in a split-architecture rendering architecture and / or reduce the total power consumption at the device level in a split-architecture rendering architecture.

[0080] In some aspects, a layer in a split rendering architecture can be used to display important information (e.g., notifications). For example, a layer on the display device (e.g., a head-lock layer) can display certain types of notifications or messages. Additionally, for users of display devices in a split rendering architecture, the light intensity of the display device may vary when the user is in certain types of environments (e.g., outdoor environments). Furthermore, the light intensity of the display device may vary when the user is in an indoor environment where lighting may change frequently (e.g., an environment where lights are repeatedly turned on and off). In cases with varying light intensity, automatically handling the changing light intensity can be beneficial, thus making it easier for the user to view the display device. For example, it could be beneficial to establish a method for automatically estimating the display device's transformation parameters and providing this information.

[0081] The aspects of this disclosure allow users of display devices to view the device more easily during certain lighting environments (e.g., bright environments or environments with varying light intensities). For example, the aspects presented herein can provide a method for automatically estimating transformation parameters of the display device and providing that information (e.g., passing that information to an application). That is, the aspects presented herein can utilize spatial content reprojection based on light intensity. For example, the aspects presented herein can utilize applications that can decide which parameters (e.g., transformation parameters) to pass to the GPU or warp engine. The aspects presented herein can also filter parameters (e.g., transformation parameters) and / or avoid enabling transformations. The aspects presented herein can apply this process to multiple different layers of a split rendering architecture. For example, while the method can be applied to different layers, the aspects presented herein can use header-locked content for a split rendering architecture.

[0082] The aspects presented herein can obtain an intensity map (e.g., intensity map r1) from some type of sensor (e.g., a camera sensor). The intensity map can be transformed based on eye / display coordinate frames to generate an updated intensity map (e.g., intensity map e1). The updated intensity map (e.g., intensity map e1) can be compared with an applied threshold and / or a user-defined threshold. This threshold comparison can produce distributed regions / blobs scattered across the map (e.g., the intensity map). Furthermore, the aspects presented herein can traverse the map (e.g., the intensity map) to filter out the largest areas that are visually beneficial for displaying content. The aspects presented herein can also determine or compute a grid alignment box that can encapsulate the regions / blobs. Additionally, the aspects presented herein can compute (i.e., solve) certain types of parameters (e.g., scaling and translation parameters). In some cases, the aspects presented herein can use different types of methods (such as homography) to estimate additional parameters. Furthermore, the aspects presented herein can transmit / pass the computed / estimated parameters from the foregoing steps to the application engine.

[0083] Additionally, the application engine can perform multiple determinations or calculations. For example, the application engine can determine whether to move content to a visually better part of the display. Similarly, the application engine can decide not to move content to a visually better part of the display. Furthermore, if certain updates occur frequently or the amount of change is large (e.g., greater than a threshold), the application engine can adjust (i.e., smooth) the changes. The application engine can then pass the new parameters to the warp engine. The GPU / warp engine can then warp the content (e.g., head-locked content) and / or generate certain data (e.g., final frame data) based on the parameters received from the application engine. This data can then be passed to the display engine. Moreover, in some cases, the aspects presented herein can pass information (e.g., encapsulated blob information) to the application engine. The application engine can then determine whether to proceed to the next step (e.g., calculate or solve for the aforementioned parameters as mentioned in the preceding steps).

[0084] Figure 10 These are illustrations 1000 and 1010, respectively illustrating example scenarios associated with display processing and / or graphics processing. More specifically, Figure 10 Example scenes are depicted on screen 1002 in diagram 1000 and on screen 1012 in diagram 1010. Each scene in diagrams 1000 and 1010 depicts an example scenario of applying a decision. Diagram 1000 includes screen 1002 displaying a virtual object 1004. Similarly, diagram 1010 includes screen 1012 displaying a virtual object 1014. Figure 11 As shown, Figure 1000 depicts a scenario where an application can decide to move virtual content (e.g., virtual object 1004) to another part of screen 1002. Furthermore, Figure 1010 depicts a scenario with varying brightness (e.g., rapidly varying brightness), where the application can decide to reduce the frequency of moving virtual content (e.g., virtual object 1014) to another part of screen 1012. By reducing the frequency of moving virtual content (e.g., virtual object 1014) to another part of the screen (e.g., screen 1012), the aspects presented herein can reduce computational load and / or power consumption at the display device.

[0085] Figure 11 This is diagram 1100 illustrating an example processing flow. More specifically, Figure 11 A process flow 1102 (e.g., an advanced process flow) for spatial content reprojection according to various aspects of this disclosure is described. Figure 11As shown, Figure 1100 includes a sensor 1110 (which includes a camera sensor 1112), a brightness map 1120, a computer vision processor 1130, estimation parameters 1140, a user / application threshold map 1142, a CPU 1150, a decision 1152, an input frame 1160, a GPU or warping engine 1170, an output warped frame 1172, and a display 1180. Figure 12 The depicted sensor 1110, including camera sensor 1112, can transmit a brightness map 1120 to a computer vision processor 1130. The computer vision processor 1130 can also receive an input frame 1160. Based on this, the computer vision processor 1130 can determine or estimate parameters (e.g., estimate parameter 1140). Additionally, the computer vision processor 1130 can transmit the estimated parameter 1140 to a CPU 1150. The CPU 1150 can also receive a user / application threshold map 1142. Based on this, the CPU 1150 can make a decision 1152 and then send an instruction for decision 1152 to a GPU / warp engine 1170. The GPU / warp engine 1170 can also receive an input frame 1160. Based on this, the GPU / warp engine 1170 can configure an output warp frame 1172 and then send the output warp frame 1172 to a display 1180. The display 1180 can then display the output warp frame 1172. The process flow 1102 in Figure 1100 depicts the reprojection process of spatial content based on the various aspects presented in this article.

[0086] Figure 12 This is diagram 1200 illustrating an example processing flow. More specifically, Figure 12 A process flow 1202 for spatial content reprojection according to various aspects of this disclosure is described. For example... Figure 12 As shown, Figure 1200 includes a sensor intensity map 1210 (e.g., a camera sensor intensity map), a coordinate transformation step 1220 (e.g., a coordinate transformation step), an eye / display coordinate alignment luminance map 1230, a threshold and mapping / filtering function 1240, and a filtered intensity map 1250. Figure 12 The previously generated light intensity map 1242 and the user / application-appropriate threshold map 1244 are also shown. Figure 12 The sensor intensity map 1210 can be transmitted to the coordinate transformation step 1220, and then to the photometric map 1230 aligned with the eye / display coordinates. Figure 13The eye / display coordinate alignment photometric map 1230 is shown to include varying light intensities, represented by different shading grids (e.g., grids with no shadows, grids with similar shadows, grids with medium shadows, and grids with heavy shadows). The result of the eye / display coordinate alignment photometric map 1230 can be passed to a thresholding and mapping / filtering function 1240. The output of the thresholding and mapping / filtering function 1240 can be a filtered intensity map 1250. In some aspects, the thresholding and mapping / filtering function 1240 can receive a previously generated light intensity map 1242 and / or a user / application-appropriate threshold map 1244. This can then be used to create the filtered intensity map 1250.

[0087] Figure 13 This is diagram 1300 illustrating an example processing flow. More specifically, Figure 12 A process flow 1302 for spatial content reprojection according to various aspects of this disclosure is described, which may be Figure 13 The process flow 1202 shown is a continuation. For example... Figure 12 As shown, Figure 1300 includes an input frame 1310 (which includes information / data 1312) and a filtered intensity map 1250 (e.g., from...). Figure 13 The filtered intensity map 1250), computer vision processor 1320, and estimated parameters 1330. Figure 13 The depicted input frame 1310 (with information / data 1312) and the filtered intensity map 1250 (e.g., filtered intensity map 1250 from a previous step in illustration 1200) can be transmitted to the computer vision processor 1320. In some cases, using homography mapping, the computer vision processor 1320 can estimate or solve for multiple different parameters (e.g., scaling factors, translation parameters, and / or other parameters). Figure 13 As shown, this estimation or computation from the computer vision processor 1320 can produce estimated parameters 1330. Also, Figure 14 As shown, these estimated parameters 1330 can then be passed to subsequent pipeline processing steps.

[0088] Figure 14 This is diagram 1400 illustrating an example processing flow. More specifically, Figure 13 A process flow 1402 for spatial content reprojection according to various aspects of this disclosure is described, which may be Figure 14 The process flow 1302 shown is a continuation. For example... Figure 13 As shown, Figure 1400 includes an input frame 1310 containing information / data 1312 (e.g., including data from...). Figure 13 Information / data 1312 input frame 1310), estimated parameters 1330 (e.g. from...) Figure 14The estimated parameters 1330), the applied computing engine 1430 (e.g., CPU), the decision step 1440, the GPU / warp engine 1450, and the output warp frame 1460 including information / data 1462. Figure 15 As depicted, certain parameters (e.g., estimated parameters 1330 from previous steps in Figure 1300) can be transmitted to the application computing engine 1430 (e.g., CPU). Based on the estimated parameters 1330, the application computing engine 1430 (e.g., CPU) can make a decision at decision step 1440. This decision from decision step 1440 (e.g., a "yes" decision or a "no" decision) can be transmitted to the GPU / warp engine 1450 along with an input frame 1310 including information / data 1312 (e.g., an input frame 1310 including information / data 1312 from previous steps in Figure 1300). Based on this, the GPU / warp engine 1450 can configure an output warp frame 1460 including information / data 1462. The GPU / warp engine 1450 can then send the output warp frame 1460 including information / data 1462. For example, the GPU / warp engine 1450 can transmit the output warp frame 1460 including information / data 1462 to a display.

[0089] The aspects presented herein may include a number of benefits or advantages. For example, the aspects of this disclosure allow users of display devices to view the device more easily during certain lighting environments (e.g., bright environments or environments with varying light intensities). The aspects presented herein may provide a method for automatically estimating transformation parameters of a display device and providing that information (e.g., passing that information to an application). In practice, the aspects presented herein may utilize spatial content reprojection based on light intensity. For example, the aspects presented herein may utilize applications that can decide which parameters (e.g., transformation parameters) to pass to the GPU or warp engine. Additionally, the aspects presented herein may also filter parameters (e.g., transformation parameters) and / or avoid enabling transformations. The aspects presented herein may apply this process to multiple different layers of a split rendering architecture. For example, while the method may be applied to different layers, the aspects presented herein may use header-locked content for a split rendering architecture.

[0090] Figure 15 This is a communication flowchart 1500 for data processing or graphics processing according to one or more techniques of this disclosure. For example... Figure 16As shown, Figure 1500 includes example communication between a GPU 1502 (e.g., a GPU, a cache on the GPU, a GPU component, another graphics processor, a CPU, a CPU component, or another central processing unit) according to one or more technologies of this disclosure, a CPU 1504 (e.g., a CPU, a cache on the CPU, a CPU component, another central processing unit, a GPU, a GPU component, or another graphics processor) and a memory 1506 (e.g., system memory, graphics memory, or memory or cache on the GPU).

[0091] At 1510, GPU 1502 can obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene. In some aspects, obtaining the first intensity map may include obtaining the first intensity map from a set of camera sensors of the camera associated with the scene.

[0092] At 1520, GPU 1502 can configure a second intensity map for scene-related display content based on a first intensity map and at least one coordinate frame from the user's perspective, wherein the second intensity map is associated with the scene's brightness information. In some aspects, configuring the second intensity map may include transforming the first intensity map for scene-related display content to generate the second intensity map based on the first intensity map and at least one coordinate frame from the user's perspective.

[0093] At 1530, GPU 1502 can determine whether the brightness information of at least one region in the second intensity map is within a suitable brightness range for the display content associated with the scene. The suitable brightness range can be greater than a minimum brightness threshold and less than a maximum brightness threshold. Additionally, at least one of the minimum brightness threshold or the maximum brightness threshold can be an application-defined threshold or a user-defined threshold. In some aspects, determining whether the brightness information of at least one region in the second intensity map is within a suitable brightness range can include: sending a first indication of the brightness information of at least one region; and receiving a second indication of whether the brightness information of at least one region in the second intensity map is within a suitable brightness range for the display content. Furthermore, receiving the second indication can include receiving the second indication from an application engine at a graphics processing unit (GPU) or a central processing unit (CPU).

[0094] At 1540, GPU 1502 can identify a segment in the display associated with the at least one region based on brightness information of the at least one region, within or outside a suitable brightness range, and wherein processing the set of pixels includes processing the set of pixels based on the identification of the segment in the display.

[0095] At position 1550, GPU 1502 can filter the brightness information of at least one region in the second intensity map if the brightness information of at least one region is within a suitable brightness range. In some aspects, if the brightness information of at least one region is within a suitable brightness range, the brightness information of that at least one region can visually benefit the display content associated with the scene. Additionally, if the brightness information of at least one region is within a suitable brightness range, the grid alignment segment in the second intensity map can be associated with that at least one region.

[0096] At 1560, GPU 1502 may process the set of pixels corresponding to a segment in the display associated with at least one region based on at least one of the following: the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or it may estimate the set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range. In some aspects, processing the set of pixels corresponding to a segment in the display may include transforming all pixels in the set of pixels corresponding to the segment in the display based on the brightness information of at least one region being within a suitable brightness range. Additionally, the GPU (e.g., GPU 1502) may send the transformed set of pixels corresponding to the segment in the display to the display. In some cases, transforming the set of pixels corresponding to a segment in the display may include distorting the set of pixels corresponding to the segment in the display. Furthermore, the amount of the transformed set of pixels may be associated with at least one of the following: head movement of the user of the device relative to the displayed content, body movement of the user of the device, or the user's surrounding environment. In some aspects, processing a set of pixels corresponding to a segment in the display may include transforming a subset of pixels in the set corresponding to the segment in the display outside a suitable brightness range based on brightness information of at least one region. Additionally, the GPU (e.g., GPU 1502) may send the transformed subset of pixels corresponding to the segment in the display to the display. In some cases, the GPU (e.g., GPU 1502) may estimate the color value of a remaining amount of the pixel set, where the remaining amount of the pixel set is equal to the amount of the pixel set excluding the subset of pixels, wherein the estimated color value of the remaining amount of the pixel set is interpolated based on the subset of pixels. Furthermore, transforming the set of pixels corresponding to a segment in the display may include distorting the subset of pixels corresponding to the segment in the display. Moreover, the amount of the transformed subset of pixels may be associated with at least one of the following: head movement of the user of the device relative to displayed content, body movement of the user of the device, or the user's surrounding environment. In some aspects, processing a set of pixels corresponding to a segment in a display may include: avoiding transformation of a subset of pixels in the set of pixels corresponding to a segment in a display based on brightness information of at least one region being outside a suitable brightness range and within an indistinguishable brightness range, wherein the indistinguishable brightness range is less than a minimum brightness threshold and greater than a maximum brightness threshold, and wherein the indistinguishable brightness range corresponds to the time when a user distinguishes the displayed content, which is greater than a distinguishable time threshold.

[0097] At 1570, GPU 1502 may output an indication of the processed set of pixels or the estimated set of transform parameters. In some aspects, outputting an indication of the processed set of pixels or the estimated set of transform parameters may include sending the indication to at least one of the following: a warp engine or an application engine at a central processing unit (CPU). For example, GPU 1502 may send indication 1572 to CPU 1504. Additionally, outputting an indication of the processed set of pixels or the estimated set of transform parameters may include storing the indication in a first memory or cache. For example, GPU 1502 may store indication 1574 in memory 1506. Furthermore, the set of transform parameters may include at least one of the following: a scaling parameter set or a translation parameter set.

[0098] At 1580, GPU 1502 can transform the display content corresponding to at least one region in the second intensity map based on the estimated set of transformation parameters. In some aspects, after the transformation, the GPU (e.g., GPU 1502) can send the transformed display content corresponding to at least one region in the second intensity map.

[0099] Additionally, at 1580, GPU 1502 may adjust the position of the display content corresponding to at least one region in the second intensity map if at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to the at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to the at least one region is greater than a size threshold. In some aspects, GPU (e.g., GPU 1502) may estimate an updated set of transformation parameters associated with the brightness information of the at least one region based on the adjusted position of the display content corresponding to the at least one region. GPU (e.g., GPU 1502) may also output the estimated updated set of transformation parameters associated with the brightness information of the at least one region.

[0100] Figures 1 to 15 This is a flowchart 1600 illustrating an example method of data processing or graphics processing according to one or more techniques of this disclosure. The method may be performed by a GPU (e.g., a GPU, a cache at the GPU, a GPU component, another graphics processor, a CPU, a CPU component, or another central processing unit), a CPU (e.g., a CPU, a cache at the CPU, a CPU component, another central processing unit, a GPU, a GPU component, or another graphics processor), a display driver integrated circuit (DDIC), means for data or graphics processing, a wireless communication device, and / or capable of performing operations related to... Figures 1 to 15Examples of this can be combined with any device used for data or graphics processing to perform this task.

[0101] At position 1602, the GPU can obtain a first intensity map associated with the brightness information of a scene comprising multiple frames, where the first intensity map corresponds to a camera associated with the scene, such as in combination. Figure 15 The examples described in the document. For example, as... Figure 1 As described in 1510, GPU 1502 can obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene. Furthermore, step 1602 can be performed by… Figures 1 to 15 The processing unit 120 performs this operation. In some aspects, obtaining the first intensity map may include obtaining the first intensity map from a set of camera sensors of a camera associated with the scene.

[0102] At 1604, the GPU can configure a second intensity map for scene-related display content based on a first intensity map and at least one coordinate frame from the user's perspective on the device, wherein the second intensity map is associated with the scene's brightness information, such as in combination with... Figure 15 The examples described in the document. For example, as... Figure 1 As described in 1520, GPU 1502 can configure a second intensity map for scene-related display content based on a first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the scene's brightness information. Furthermore, step 1604 can be... Figures 1 to 15 The processing unit 120 performs this operation. In some aspects, configuring the second intensity map may include transforming the first intensity map for scene-related display content based on the first intensity map and at least one coordinate frame from the user's perspective of the device to generate the second intensity map.

[0103] At position 1606, the GPU can determine whether the brightness information of at least one region in the second intensity map is within the appropriate brightness range for the display content associated with the scene, such as in combination with... Figure 15 The examples described in the document. For example, as... Figure 1 As described in 1530, GPU 1502 can determine whether the brightness information of at least one region in the second intensity map is within an appropriate brightness range for the display content associated with the scene. Furthermore, step 1606 can be performed by... Figures 1 to 15The processing unit 120 executes the process. A suitable brightness range can be greater than a minimum brightness threshold and less than a maximum brightness threshold. Additionally, at least one of the minimum or maximum brightness threshold can be an application-defined threshold or a user-defined threshold. In some aspects, determining whether the brightness information of at least one region in the second intensity map is within the suitable brightness range can include: sending a first indication of the brightness information of at least one region; and receiving a second indication of whether the brightness information of at least one region in the second intensity map is within the suitable brightness range of the displayed content. Furthermore, receiving the second indication can include receiving the second indication from an application engine at a graphics processing unit (GPU) or a central processing unit (CPU).

[0104] At 1612, the GPU can process the set of pixels corresponding to the segment in the display associated with at least one region based on at least one of the following: the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or it can estimate the set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range, such as in combination with... Figure 15 The examples described in the document. For example, as... Figure 1 As described in 1560, GPU 1502 can process a set of pixels corresponding to a segment in the display associated with at least one region based on at least one of the following: the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or it can estimate a set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range. Furthermore, step 1612 can be performed by… Figures 1 to 15The processing unit 120 performs the operation. In some aspects, processing a set of pixels corresponding to a segment in the display may include transforming all pixels in the set of pixels corresponding to the segment in the display within a suitable brightness range based on brightness information of at least one region. Additionally, the GPU (e.g., GPU 1502) may send the transformed set of pixels corresponding to the segment in the display to the display. In some cases, transforming the set of pixels corresponding to the segment in the display may include distorting the set of pixels corresponding to the segment in the display. Furthermore, the amount of the transformed set of pixels may be associated with at least one of the following: head movement of the user of the device relative to displayed content, body movement of the user of the device, or the user's surrounding environment. In some aspects, processing a set of pixels corresponding to a segment in the display may include transforming a subset of pixels in the set of pixels corresponding to the segment in the display outside a suitable brightness range based on brightness information of at least one region. Additionally, the GPU (e.g., GPU 1502) may send the transformed subset of pixels corresponding to the segment in the display to the display. In some cases, the GPU (e.g., GPU 1502) can estimate the color value of the remaining amount of the pixel set, where the remaining amount of the pixel set is equal to the amount of the pixel set excluding the pixel subset, wherein the estimated color value of the remaining amount of the pixel set is interpolated based on the pixel subset. Additionally, transforming the pixel set corresponding to a segment in the display may include distorting the pixel subset corresponding to the segment in the display. Furthermore, the amount of the transformed pixel subset may be associated with at least one of the following: head movement of the user of the device relative to the displayed content, body movement of the user of the device, or the user's surrounding environment. In some aspects, processing the pixel set corresponding to a segment in the display may include: avoiding transforming the pixel subset in the pixel set corresponding to the segment in the display based on brightness information of at least one region being outside a suitable brightness range and within an indistinguishable brightness range, wherein the indistinguishable brightness range is less than a minimum brightness threshold and greater than a maximum brightness threshold, and wherein the indistinguishable brightness range corresponds to the time it takes for the user to distinguish the displayed content, which is greater than a distinguishable time threshold.

[0105] At 1614, the GPU can output an indication of the set of pixels processed or the estimated set of transform parameters, such as in combination with... Figure 15 The examples described in the document. For example, as... Figure 1 As described in 1570, GPU 1502 can output an indication of the processed set of pixels or the estimated set of transform parameters. Furthermore, step 1614 can be performed by… Figures 1 to 15The processing unit 120 executes the operation. In some aspects, outputting an indication of the processed pixel set or the estimated transform parameter set may include sending an indication of the processed pixel set or the estimated transform parameter set to at least one of the following: a warping engine or an application engine at a central processing unit (CPU). For example, GPU 1502 may send indication 1572 to CPU 1504. Additionally, outputting an indication of the processed pixel set or the estimated transform parameter set may include storing the indication of the processed pixel set or the estimated transform parameter set in a first memory or cache. For example, GPU 1502 may store indication 1574 in memory 1506. Furthermore, the transform parameter set may include at least one of the following: a scaling parameter set or a translation parameter set.

[0106] Figure 15 This is a flowchart 1700 illustrating an example method of data processing or graphics processing according to one or more techniques of this disclosure. The method may be performed by a GPU (e.g., a GPU, a cache at the GPU, a GPU component, another graphics processor, a CPU, a CPU component, or another central processing unit), a CPU (e.g., a CPU, a cache at the CPU, a CPU component, another central processing unit, a GPU, a GPU component, or another graphics processor), a display driver integrated circuit (DDIC), means for data or graphics processing, a wireless communication device, and / or a device capable of performing data or graphics processing. Figure 1 Examples of this can be combined with any device used for data or graphics processing to perform this task.

[0107] At position 1702, the GPU can obtain a first intensity map associated with the brightness information of a scene comprising multiple frames, where the first intensity map corresponds to a camera associated with the scene, such as in combination. Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1510, GPU 1502 can obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene. Furthermore, step 1702 can be performed by… Figure 1 The processing unit 120 performs this operation. In some aspects, obtaining the first intensity map may include obtaining the first intensity map from a set of camera sensors of a camera associated with the scene.

[0108] At 1704, the GPU can configure a second intensity map for scene-related display content based on a first intensity map and at least one coordinate frame from the user's perspective on the device, wherein the second intensity map is associated with the scene's brightness information, such as in combination with... Figures 1 to 15 The examples described in the document. For example, as... Figure 15As described in 1520, GPU 1502 can configure a second intensity map for scene-related display content based on a first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the scene's brightness information. Furthermore, step 1704 can be performed by... Figure 1 The processing unit 120 performs this operation. In some aspects, configuring the second intensity map may include transforming the first intensity map for scene-related display content based on the first intensity map and at least one coordinate frame from the user's perspective of the device to generate the second intensity map.

[0109] At position 1706, the GPU can determine whether the brightness information of at least one region in the second intensity map is within the appropriate brightness range for the display content associated with the scene, such as in combination with... Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1530, GPU 1502 can determine whether the brightness information of at least one region in the second intensity map is within an appropriate brightness range for the display content associated with the scene. Furthermore, step 1706 can be performed by... Figure 1 The processing unit 120 executes the process. A suitable brightness range can be greater than a minimum brightness threshold and less than a maximum brightness threshold. Additionally, at least one of the minimum or maximum brightness threshold can be an application-defined threshold or a user-defined threshold. In some aspects, determining whether the brightness information of at least one region in the second intensity map is within the suitable brightness range can include: sending a first indication of the brightness information of at least one region; and receiving a second indication of whether the brightness information of at least one region in the second intensity map is within the suitable brightness range of the displayed content. Furthermore, receiving the second indication can include receiving the second indication from an application engine at a graphics processing unit (GPU) or a central processing unit (CPU).

[0110] At 1708, the GPU can identify segments in the display associated with at least one region based on brightness information of at least one region, either within a suitable brightness range or outside a suitable brightness range, and wherein processing the set of pixels can include processing the set of pixels based on the identification of segments in the display, such as in combination with... Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1540, GPU 1502 can identify segments in the display associated with at least one region based on brightness information of at least one region, either within a suitable brightness range or outside a suitable brightness range, and wherein processing the pixel set can include processing the pixel set based on the identification of segments in the display. Furthermore, step 1708 can be performed by... Figure 1 The processing unit 120 in the middle executes.

[0111] At 1710, the GPU can filter the brightness information of at least one region in the second intensity map, provided that the brightness information of at least one region is within a suitable brightness range, such as by combining... Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1550, GPU 1502 can filter the brightness information of at least one region in the second intensity map if the brightness information of at least one region is within a suitable brightness range. Furthermore, step 1710 can be performed by… Figure 1 The processing unit 120 performs this operation. In some aspects, when the brightness information of at least one region is within a suitable brightness range, the brightness information of that at least one region can visually benefit the display content associated with the scene. Additionally, when the brightness information of at least one region is within a suitable brightness range, the grid alignment segment in the second intensity map can be associated with that at least one region.

[0112] At 1712, the GPU can process the set of pixels corresponding to the segment in the display associated with at least one region based on at least one of the following: the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or it can estimate the set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range, such as in combination with... Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1560, GPU 1502 can process a set of pixels corresponding to a segment in the display associated with at least one region based on at least one of the following: the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or it can estimate a set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range. Furthermore, step 1712 can be performed by… Figure 1The processing unit 120 performs the operation. In some aspects, processing a set of pixels corresponding to a segment in the display may include transforming all pixels in the set of pixels corresponding to the segment in the display within a suitable brightness range based on brightness information of at least one region. Additionally, the GPU (e.g., GPU 1502) may send the transformed set of pixels corresponding to the segment in the display to the display. In some cases, transforming the set of pixels corresponding to the segment in the display may include distorting the set of pixels corresponding to the segment in the display. Furthermore, the amount of the transformed set of pixels may be associated with at least one of the following: head movement of the user of the device relative to displayed content, body movement of the user of the device, or the user's surrounding environment. In some aspects, processing a set of pixels corresponding to a segment in the display may include transforming a subset of pixels in the set of pixels corresponding to the segment in the display outside a suitable brightness range based on brightness information of at least one region. Additionally, the GPU (e.g., GPU 1502) may send the transformed subset of pixels corresponding to the segment in the display to the display. In some cases, the GPU (e.g., GPU 1502) can estimate the color value of the remaining amount of the pixel set, where the remaining amount of the pixel set is equal to the amount of the pixel set excluding the pixel subset, wherein the estimated color value of the remaining amount of the pixel set is interpolated based on the pixel subset. Additionally, transforming the pixel set corresponding to a segment in the display may include distorting the pixel subset corresponding to the segment in the display. Furthermore, the amount of the transformed pixel subset may be associated with at least one of the following: head movement of the user of the device relative to the displayed content, body movement of the user of the device, or the user's surrounding environment. In some aspects, processing the pixel set corresponding to a segment in the display may include: avoiding transforming the pixel subset in the pixel set corresponding to the segment in the display based on brightness information of at least one region being outside a suitable brightness range and within an indistinguishable brightness range, wherein the indistinguishable brightness range is less than a minimum brightness threshold and greater than a maximum brightness threshold, and wherein the indistinguishable brightness range corresponds to the time it takes for the user to distinguish the displayed content, which is greater than a distinguishable time threshold.

[0113] At 1714, the GPU can output an indication of the set of pixels processed or the estimated set of transform parameters, such as in combination with... Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1570, GPU 1502 can output an indication of the processed set of pixels or the estimated set of transform parameters. Furthermore, step 1714 can be performed by… Figure 1The processing unit 120 executes the operation. In some aspects, outputting an indication of the processed pixel set or the estimated transform parameter set may include sending an indication of the processed pixel set or the estimated transform parameter set to at least one of the following: a warping engine or an application engine at a central processing unit (CPU). For example, GPU 1502 may send indication 1572 to CPU 1504. Additionally, outputting an indication of the processed pixel set or the estimated transform parameter set may include storing the indication of the processed pixel set or the estimated transform parameter set in a first memory or cache. For example, GPU 1502 may store indication 1574 in memory 1506. Furthermore, the transform parameter set may include at least one of the following: a scaling parameter set or a translation parameter set.

[0114] At 1716, the GPU can transform the display content corresponding to at least one region in the second intensity map based on the estimated set of transformation parameters, such as combining... Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1580, GPU 1502 can transform the display content corresponding to at least one region in the second intensity map based on the estimated set of transformation parameters. Furthermore, step 1716 can be performed by... Figure 1 The processing unit 120 in the process performs the transformation. In some aspects, after the transformation, the GPU (e.g., GPU 1502) can send the transformed display content corresponding to at least one region in the second intensity map.

[0115] Additionally, at 1716, the GPU can adjust the position of the display content corresponding to at least one region in the second intensity map if at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to at least one region is greater than a size threshold, such as in combination with Figures 1 to 15 The examples described in the document. For example, as... Figure 15 As described in 1580, GPU 1502 can adjust the position of the display content corresponding to at least one region in the second intensity map if at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to at least one region is greater than a size threshold. Furthermore, step 1716 can be performed by... Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 Figure 15 Figure 1 Figures 1 to 15 FigureThe processing unit 120 performs the operation. In some aspects, the GPU (e.g., GPU 1502) may estimate an updated set of transformation parameters associated with the brightness information of the at least one region based on the adjusted position of the display content corresponding to the at least one region. The GPU (e.g., GPU 1502) may also output the estimated updated set of transformation parameters associated with the brightness information of the at least one region.

[0116] The configuration provides methods or apparatus for data or graphics processing. This apparatus may be a GPU (or other graphics processing unit), a CPU (or other central processing unit), a DDIC, a graphics processing device, and / or some other processor capable of performing data or graphics processing. In various aspects, the apparatus may be processing unit 120 within device 104, or may be some other hardware within device 104 or another device. The apparatus (e.g., processing unit 120) may include components for obtaining a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene. The apparatus (e.g., processing unit 120) may also include components for configuring a second intensity map for display content associated with the scene based on the first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the brightness information of the scene. The apparatus (e.g., processing unit 120) may also include components for determining whether the brightness information of at least one region in the second intensity map is within a suitable brightness range for the display content associated with the scene. The apparatus (e.g., processing unit 120) may further include means for processing a set of pixels corresponding to a segment in the display associated with at least one region based on whether the brightness information of at least one region is within a suitable brightness range, outside a suitable brightness range, or within an indistinguishable brightness range; or means for estimating a set of transform parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of at least one region is within a suitable brightness range. The apparatus (e.g., processing unit 120) may further include means for outputting an indication of the processed set of pixels or the estimated set of transform parameters. The apparatus (e.g., processing unit 120) may further include means for identifying a segment in the display associated with the at least one region based on whether the brightness information of at least one region is within a suitable brightness range or outside a suitable brightness range. The apparatus (e.g., processing unit 120) may further include means for filtering the brightness information of at least one region in the second intensity map if the brightness information of at least one region is within a suitable brightness range. The apparatus (e.g., processing unit 120) may further include components for adjusting the position of display content corresponding to at least one region in the second intensity map in the event that at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to at least one region is greater than a size threshold. The apparatus (e.g., processing unit 120) may further include components for transforming the display content corresponding to at least one region in the second intensity map based on an estimated set of transformation parameters.

[0117] The subjects described herein can be implemented to achieve one or more benefits or advantages. For example, the described graphics or display processing techniques can be used by a GPU, CPU, central processing unit, or some other processor capable of performing graphics or display processing to implement the content projection techniques described herein. This can also be achieved at a lower cost compared to other graphics or display processing techniques. Furthermore, the graphics or display processing techniques of this invention can improve or accelerate data processing or execution. In addition, the graphics or display processing techniques of this invention can improve resource or data utilization and / or resource efficiency. Additionally, aspects of this disclosure can utilize content reprojection techniques to improve memory bandwidth efficiency and / or increase processing speed at caches, GPUs, CPUs, or DPUs.

[0118] It should be understood that the specific order or hierarchy of the boxes in the disclosed process / flowcharts is merely an example of the exemplary method. It should be understood that the specific order or hierarchy of the boxes in the process / flowcharts may be rearranged based on design preferences. Furthermore, some boxes may be combined or omitted. The appended method claims present the elements of various boxes in a sample order, but this does not imply limitation to the given specific order or hierarchy.

[0119] The foregoing description is provided to enable any person skilled in the art to practice the various aspects described herein. Various modifications to these aspects will be apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects. Therefore, the claims are not intended to be limited to the aspects shown herein, but should be given the full scope consistent with the language of the claims, wherein references to elements in the singular form, unless specifically stated otherwise, are not intended to mean “one and only one,” but rather “one or more.” The word “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any aspect described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects.

[0120] Unless otherwise specified, the term "some" refers to one or more, and the term "or" may be interpreted as "and / or" unless otherwise specified in the context. Combinations such as "at least one of A, B, or C", "one or more of A, B, or C", "at least one of A, B, and C", "one or more of A, B, and C", and "A, B, C, or any combination thereof" include any combination of A, B, and / or C, which may include multiple A, multiple B, or multiple C. Specifically, combinations such as "at least one of A, B, or C", "one or more of A, B, or C", "at least one of A, B, and C", "one or more of A, B, and C", and "A, B, C, or any combination thereof" may be only A, only B, only C, A and B, A and C, B and C, or A and B and C, wherein any such combination may contain one or more members of A, B, or C. All structural and functional equivalents of the elements throughout the various aspects described herein that are known to or will later be known to a person skilled in the art are expressly incorporated herein by reference and are intended to be covered by the claims. Furthermore, nothing disclosed herein is intended to be offered to the public, whether or not such disclosure is explicitly recited in the claims. The terms “module,” “mechanism,” “element,” “device,” etc., cannot replace the word “component.” Therefore, no claim element will be construed as a component plus function unless the element is explicitly recited using the phrase “component for…”.

[0121] In one or more examples, the functionality described herein may be implemented in hardware, software, firmware, or any combination thereof. For example, although the term "processing unit" is used throughout this disclosure, such a processing unit may be implemented in hardware, software, firmware, or any combination thereof. If any functionality, processing unit, technique, or other module described herein is implemented in software, then such functionality, processing unit, technique, or other module may be stored on or transmitted on a computer-readable medium as one or more instructions or code.

[0122] According to this disclosure, unless otherwise specified in the context, the term "or" may be understood as "and / or". Additionally, while phrases such as "one or more" or "at least one" may be used for some features disclosed herein but not others, features not using such language may be understood to have such implied meaning unless otherwise specified in the context.

[0123] In one or more examples, the functionality described herein may be implemented in hardware, software, firmware, or any combination thereof. For example, although the term “processing unit” is used throughout this disclosure, such a processing unit may be implemented in hardware, software, firmware, or any combination thereof. If any functionality, processing unit, technique, or other module described herein is implemented in software, then the functionality, processing unit, technique, or other module described herein may be stored on or transmitted on a computer-readable medium as one or more instructions or code. A computer-readable medium may include computer data storage media and communication media, including any medium that facilitates the transfer of a computer program from one place to another. In this way, a computer-readable medium may generally correspond to (1) a non-transitory tangible computer-readable storage medium or (2) a communication medium such as a signal or carrier wave. A data storage medium may be any available medium that can be accessed by one or more computers or one or more processors to retrieve instructions, code, and / or data structures for implementing the techniques described herein. By way of example and not limitation, such computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage devices, magnetic disk storage devices, or other magnetic storage devices. As used herein, disks and optical discs include: compact optical discs (CDs), laser optical discs, optical discs, digital multifunction optical discs (DVDs), floppy disks, and Blu-ray discs, wherein disks typically reproduce data magnetically, while optical discs reproduce data optically using lasers. Combinations of the above should also be included within the scope of computer-readable media. Computer program products may include computer-readable media.

[0124] The code can be executed by one or more processors, such as one or more digital signal processors (DSPs), general-purpose microprocessors, application-specific integrated circuits (ASICs), arithmetic logic units (ALUs), field-programmable arrays (FPGAs), or other equivalent integrated or discrete logic circuits. Therefore, the term "processor" as used herein can refer to any of the above-described structures or any other structure suitable for implementing the techniques described herein. Furthermore, these techniques can be fully implemented in one or more circuit or logic elements.

[0125] The techniques disclosed herein can be implemented in a wide variety of devices or apparatuses, including wireless mobile phones, integrated circuits (ICs), or IC sets (e.g., chipsets). Various components, modules, or units are described in this disclosure to emphasize functional aspects of a device configured to perform the disclosed techniques, but they do not necessarily need to be implemented by different hardware units. Rather, as described above, various units can be combined in any hardware unit or provided by a collection of interoperable hardware units (including one or more processors as described above) combined with suitable software and / or firmware. Therefore, the term "processor" as used herein can refer to any of the above-described structures or any other structure suitable for implementing the techniques described herein. Furthermore, these techniques can be fully implemented in one or more circuit or logic elements.

[0126] The following aspects are merely illustrative and may be combined with other aspects or teachings described herein without limitation.

[0127] Aspect 1 is an apparatus for display processing, the apparatus comprising at least one memory and at least one processor coupled to said at least one memory, and at least partially based on information stored in said at least one memory, the at least one processor being configured individually or in any combination to: obtain a first intensity map associated with luminance information of a scene comprising multiple frames, wherein said first intensity map corresponds to a camera associated with said scene; configure a second intensity map for display content associated with said scene based on said first intensity map and at least one coordinate frame from the perspective of a user of the device, wherein said second intensity map is associated with said luminance information; determine whether luminance information of at least one region in said second intensity map is within a suitable luminance range of said display content associated with said scene; process a set of pixels corresponding to a segment in the display associated with said at least one region based on whether said at least one region's luminance information is within said suitable luminance range, outside said suitable luminance range, or within an indistinguishable luminance range; or estimate a set of transformation parameters associated with said luminance information of said at least one region in said second intensity map based on whether said at least one region's luminance information is within said suitable luminance range; and output an indication of the processed set of pixels or the estimated set of transformation parameters.

[0128] Aspect 2 is the apparatus according to aspect 1, wherein, in order to process the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to: transform all pixels in the set of pixels corresponding to the segment in the display based on the brightness information of the at least one region within a suitable brightness range.

[0129] Aspect 3 is the apparatus according to aspect 2, wherein the at least one processor is configured, individually or in any combination, to send to the display a transformed set of pixels corresponding to the segment in the display.

[0130] Aspect 4 is an apparatus according to any one of Aspects 2 to 3, wherein, in order to transform the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to distort the set of pixels corresponding to the segment in the display.

[0131] Aspect 5 is an apparatus according to any one of aspects 2 to 4, wherein the amount of the transformed set of pixels is associated with at least one of: head movement of the user of the device in relation to the displayed content, body movement of the user of the device, or the surrounding environment of the user of the device.

[0132] Aspect 6 is an apparatus according to any one of aspects 1 to 5, wherein, in order to process the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to: transform a subset of pixels in the set of pixels corresponding to the segment in the display based on the brightness information of the at least one region outside the suitable brightness range.

[0133] Aspect 7 is the apparatus according to aspect 6, wherein the at least one processor is configured, individually or in any combination, to send to the display a transformed subset of pixels corresponding to the segment in the display.

[0134] Aspect 8 is an apparatus according to any one of Aspects 6 to 7, wherein the at least one processor is further configured, individually or in any combination, to: estimate the color value of a remaining amount of the pixel set, wherein the remaining amount of the pixel set is equal to an amount of the pixel set excluding the pixel subset, wherein the estimated color value of the remaining amount of the pixel set is interpolated based on the pixel subset.

[0135] Aspect 9 is an apparatus according to any one of aspects 6 to 8, wherein, in order to transform the subset of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to distort the subset of pixels corresponding to the segment in the display.

[0136] Aspect 10 is an apparatus according to any one of aspects 6 to 9, wherein the amount of the transformed subset of pixels is associated with at least one of: head movement of the user of the device in relation to the displayed content, body movement of the user of the device, or the surrounding environment of the user of the device.

[0137] Aspect 11 is an apparatus according to any one of Aspects 1 to 10, wherein, in order to process the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to: avoid transforming a subset of pixels in the set of pixels corresponding to the segment in the display based on the brightness information of the at least one region being outside the suitable brightness range and within the indistinguishable brightness range, wherein the indistinguishable brightness range is less than a minimum brightness threshold and greater than a maximum brightness threshold, and wherein the indistinguishable brightness range corresponds to the time when the user distinguishes the displayed content, the time being greater than a distinguishable time threshold.

[0138] Aspect 12 is an apparatus according to any one of aspects 1 to 11, wherein the at least one processor is configured individually or in any combination to: identify the segment in the display associated with the at least one region based on the brightness information of the at least one region within or outside the suitable brightness range, and wherein, in order to process the pixel set, the at least one processor is configured to process the pixel set based on the identification of the segment in the display.

[0139] Aspect 13 is an apparatus according to any one of aspects 1 to 12, wherein, in order to determine whether the brightness information of the at least one region in the second intensity map is within the appropriate brightness range, the at least one processor is configured individually or in any combination to: send a first indication of the brightness information of the at least one region; and receive a second indication of whether the brightness information of the at least one region in the second intensity map is within the appropriate brightness range of the displayed content.

[0140] Aspect 14 is the apparatus according to aspect 13, wherein, in order to receive the second instruction, the at least one processor is configured individually or in any combination to receive the second instruction from an application engine at a graphics processing unit (GPU) or a central processing unit (CPU).

[0141] Aspect 15 is an apparatus according to any one of aspects 1 to 14, wherein, in order to configure the second intensity map, the at least one processor is configured individually or in any combination to: transform the first intensity map for the display content associated with the scene to generate the second intensity map based on the first intensity map and the at least one coordinate frame from the user's angle of the device.

[0142] Aspect 16 is an apparatus according to any one of aspects 1 to 15, the apparatus further comprising at least one of an antenna or a transceiver coupled to the at least one processor, wherein, in order to obtain the first intensity map, the at least one processor is configured individually or in any combination to obtain the first intensity map from a set of camera sensors of the camera associated with the scene via the antenna or the transceiver.

[0143] Aspect 17 is an apparatus according to any one of aspects 1 to 16, wherein the suitable brightness range is greater than a minimum brightness threshold and less than a maximum brightness threshold, and wherein at least one of the minimum brightness threshold or the maximum brightness threshold is an application-defined threshold or a user-defined threshold.

[0144] Aspect 18 is an apparatus according to any one of aspects 1 to 17, wherein the at least one processor is configured individually or in any combination to: filter the brightness information of the at least one region in the second intensity map, provided that the brightness information of the at least one region is within the suitable brightness range.

[0145] Aspect 19 is the apparatus according to aspect 18, wherein, when the brightness information of the at least one region is within the appropriate brightness range, the brightness information of the at least one region is visually beneficial to the display content associated with the scene.

[0146] Aspect 20 is the apparatus according to aspect 18, wherein, when the brightness information of the at least one region is within the appropriate brightness range, the grid alignment segment in the second intensity map is associated with the at least one region.

[0147] Aspect 21 is an apparatus according to any one of aspects 1 to 20, wherein the at least one processor is further configured, individually or in any combination, to adjust the position of display content corresponding to the at least one region in the second intensity map if at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to the at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to the at least one region is greater than a size threshold.

[0148] Aspect 22 is the apparatus according to aspect 21, wherein the at least one processor is further configured, individually or in any combination, to: estimate an updated set of transformation parameters associated with the brightness information of the at least one region based on the adjusted position of the display content corresponding to the at least one region; and output the estimated updated set of transformation parameters associated with the brightness information of the at least one region.

[0149] Aspect 23 is an apparatus according to any one of aspects 1 to 22, wherein the at least one processor is configured, individually or in any combination, to transform the display content corresponding to the at least one region in the second intensity map based on the estimated set of transformation parameters.

[0150] Aspect 24 is the apparatus according to aspect 23, wherein the at least one processor is configured, individually or in any combination, to send transformed display content corresponding to the at least one region in the second intensity map.

[0151] Aspect 25 is an apparatus according to any one of aspects 1 to 24, wherein the set of transformation parameters includes at least one of the following: a set of scaling parameters or a set of translation parameters.

[0152] Aspect 26 is an apparatus according to any one of aspects 1 to 25, wherein, in order to output the indication to the processed set of pixels or the estimated set of transformation parameters, the at least one processor is configured individually or in any combination to send the indication to at least one of the following: a warping engine or an application engine at a central processing unit (CPU).

[0153] Aspect 27 is an apparatus according to any one of aspects 1 to 26, wherein, in order to output an indication of the processed set of pixels or the estimated set of transform parameters, the at least one processor is configured individually or in any combination to store the indication of the processed set of pixels or the estimated set of transform parameters in a first memory or cache.

[0154] Aspect 28 is a method for implementing the display processing of any one of aspects 1 to 27.

[0155] Aspect 29 is an apparatus for display processing, the apparatus including components for implementing any one of aspects 1 to 27.

[0156] Aspect 30 is a computer-readable medium (e.g., a non-transitory computer-readable medium) storing computer-executable code (e.g., code for display processing) that, when executed by at least one processor, causes the at least one processor to implement any one of aspects 1 to 27.

Claims

1. An apparatus for display processing, the apparatus comprising: At least one memory; as well as At least one processor, coupled to the at least one memory, and configured individually or in any combination, based at least in part on information stored in the at least one memory, to: Obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene; A second intensity map is configured for display content associated with the scene based on the first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the brightness information of the scene; Determine whether the brightness information of at least one region in the second intensity map is within the appropriate brightness range of the displayed content associated with the scene; The set of pixels corresponding to the segment in the display associated with the at least one region is processed based on the brightness information of the at least one region being within the suitable brightness range, outside the suitable brightness range, or within the indistinguishable brightness range; or the set of transformation parameters associated with the brightness information of the at least one region in the second intensity map is estimated based on whether the brightness information of the at least one region is within the suitable brightness range. as well as Output an indication of the set of pixels processed or the set of estimated transform parameters.

2. The apparatus of claim 1, wherein, in order to process the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to: transform all pixels in the set of pixels corresponding to the segment in the display based on the brightness information of the at least one region within a suitable brightness range.

3. The apparatus of claim 2, wherein the at least one processor is further configured, alone or in any combination, to: Send to the display the transformed set of pixels corresponding to the segment in the display.

4. The apparatus of claim 2, wherein, in order to transform the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to distort the set of pixels corresponding to the segment in the display.

5. The apparatus of claim 2, wherein the amount of the transformed set of pixels is associated with at least one of: head movement of the user of the device in relation to the displayed content, body movement of the user of the device, or the surrounding environment of the user of the device.

6. The apparatus of claim 1, wherein, in order to process the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to: transform a subset of pixels in the set of pixels corresponding to the segment in the display based on the brightness information of the at least one region outside the suitable brightness range.

7. The apparatus of claim 6, wherein the at least one processor, alone or in any combination, is further configured to: Send to the display a transformed subset of pixels corresponding to the segment in the display.

8. The apparatus of claim 6, wherein the at least one processor is further configured, alone or in any combination, to: Estimate the color value of the remaining amount of the pixel set, wherein the remaining amount of the pixel set is equal to the amount of the pixel set excluding the pixel subset, wherein the estimated color value of the remaining amount of the pixel set is interpolated based on the pixel subset.

9. The apparatus of claim 6, wherein, in order to transform the subset of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to distort the subset of pixels corresponding to the segment in the display.

10. The apparatus of claim 6, wherein the amount of the transformed subset of pixels is associated with at least one of: head movement of the user of the device in relation to the displayed content, body movement of the user of the device, or the surrounding environment of the user of the device.

11. The apparatus of claim 1, wherein, in order to process the set of pixels corresponding to the segment in the display, the at least one processor is configured individually or in any combination to: avoid transforming a subset of pixels in the set of pixels corresponding to the segment in the display based on the brightness information of the at least one region being outside the suitable brightness range and within the indistinguishable brightness range, wherein the indistinguishable brightness range is less than a minimum brightness threshold and greater than a maximum brightness threshold, and wherein the indistinguishable brightness range corresponds to the time when the user distinguishes the displayed content, the time being greater than a distinguishable time threshold.

12. The apparatus of claim 1, wherein the at least one processor is further configured, alone or in any combination, to: The at least one region is used to identify the segment in the display associated with the at least one region based on the brightness information of the at least one region, within or outside the appropriate brightness range, and wherein, in order to process the pixel set, the at least one processor is configured to process the pixel set based on the identification of the segment in the display.

13. The apparatus of claim 1, wherein, in order to determine whether the brightness information of the at least one region in the second intensity map is within the appropriate brightness range, the at least one processor is configured individually or in any combination to: Send a first indication of the brightness information of the at least one region; and Receive a second indication as to whether the brightness information of at least one region in the second intensity map is within the appropriate brightness range of the displayed content.

14. The apparatus of claim 13, wherein, in order to receive the second instruction, the at least one processor is configured individually or in any combination to receive the second instruction from an application engine at a graphics processing unit (GPU) or a central processing unit (CPU).

15. The apparatus of claim 1, wherein, in order to configure the second intensity map, the at least one processor is configured individually or in any combination to: transform the first intensity map for the display content associated with the scene to generate the second intensity map based on the first intensity map and the at least one coordinate frame from the user's angle of the device.

16. The apparatus of claim 1, further comprising at least one of an antenna or a transceiver coupled to the at least one processor, wherein, in order to obtain the first intensity map, the at least one processor is configured individually or in any combination to obtain the first intensity map from a set of camera sensors of the camera associated with the scene via the antenna or the transceiver.

17. The apparatus of claim 1, wherein the suitable brightness range is greater than a minimum brightness threshold and less than a maximum brightness threshold, and wherein at least one of the minimum brightness threshold or the maximum brightness threshold is an application-defined threshold or a user-defined threshold.

18. The apparatus of claim 1, wherein the at least one processor, alone or in any combination, is further configured to: When the brightness information of the at least one region is within the appropriate brightness range, the brightness information of the at least one region in the second intensity map is filtered.

19. The apparatus according to claim 18, wherein, When the brightness information of the at least one region is within the appropriate brightness range, the brightness information of the at least one region is visually beneficial to the display content associated with the scene.

20. The apparatus according to claim 18, wherein, When the brightness information of the at least one region is within the appropriate brightness range, the grid alignment segment in the second intensity map is associated with the at least one region.

21. The apparatus of claim 1, wherein the at least one processor is further configured, alone or in any combination, to: The position of the display content corresponding to the at least one region in the second intensity map shall be adjusted if at least one of the following occurs: (1) the frequency of change of the set of display coordinates of the display content corresponding to the at least one region is less than a frequency threshold, or (2) the size of the display content corresponding to the at least one region is greater than a size threshold.

22. The apparatus of claim 21, wherein the at least one processor is further configured, alone or in any combination, to: Based on the adjusted position of the displayed content corresponding to the at least one region, an updated set of transformation parameters associated with the brightness information of the at least one region is estimated; and Output the estimated updated set of transformation parameters associated with the brightness information of the at least one region.

23. The apparatus of claim 1, wherein the at least one processor is further configured, alone or in any combination, to: The display content corresponding to at least one region in the second intensity map is transformed based on the estimated set of transformation parameters.

24. The apparatus of claim 23, wherein the at least one processor is further configured, alone or in any combination, to: Send the transformed display content corresponding to at least one region in the second intensity map.

25. The apparatus of claim 1, wherein the set of transformation parameters includes at least one of the following: a set of scaling parameters or a set of translation parameters.

26. The apparatus of claim 1, wherein, in order to output the indication to the processed set of pixels or the estimated set of transform parameters, the at least one processor is configured individually or in any combination to send the indication to at least one of: a warping engine or an application engine at a central processing unit (CPU).

27. The apparatus of claim 1, wherein, in order to output an indication of the processed set of pixels or the estimated set of transform parameters, the at least one processor is configured individually or in any combination to store the indication of the processed set of pixels or the estimated set of transform parameters in a first memory or cache.

28. A method for display processing, the method comprising: Obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene; A second intensity map is configured for display content associated with the scene based on the first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the brightness information of the scene; Determine whether the brightness information of at least one region in the second intensity map is within the appropriate brightness range of the displayed content associated with the scene; The set of pixels corresponding to the segment in the display associated with the at least one region is processed based on the brightness information of the at least one region being within the suitable brightness range, outside the suitable brightness range, or within the indistinguishable brightness range; or the set of transformation parameters associated with the brightness information of the at least one region in the second intensity map is estimated based on whether the brightness information of the at least one region is within the suitable brightness range. as well as Output an indication of the set of pixels processed or the set of estimated transform parameters.

29. An apparatus for display processing, the apparatus comprising: A component for obtaining a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene; A component for configuring a second intensity map for display content associated with the scene based on the first intensity map and at least one coordinate frame from the perspective of a user of the device, wherein the second intensity map is associated with the brightness information of the scene; A component for determining whether the brightness information of at least one region in the second intensity map is within a suitable brightness range for the displayed content associated with the scene; A component for processing a set of pixels corresponding to a segment in the display associated with the at least one region, based on the brightness information of the at least one region being within the suitable brightness range, outside the suitable brightness range, or within the indistinguishable brightness range; Or a component for estimating a set of transformation parameters associated with the brightness information of at least one region in the second intensity map based on whether the brightness information of the at least one region is within the appropriate brightness range; as well as A component used to output an indication of the set of pixels processed or the set of estimated transform parameters.

30. A computer-readable medium storing computer-executable code for display processing, said code, when executed by at least one processor, causing said at least one processor to: Obtain a first intensity map associated with brightness information of a scene comprising multiple frames, wherein the first intensity map corresponds to a camera associated with the scene; A second intensity map is configured for display content associated with the scene based on the first intensity map and at least one coordinate frame from the user's perspective of the device, wherein the second intensity map is associated with the brightness information of the scene; Determine whether the brightness information of at least one region in the second intensity map is within the appropriate brightness range of the displayed content associated with the scene; The set of pixels corresponding to the segment in the display associated with the at least one region is processed based on the brightness information of the at least one region being within the suitable brightness range, outside the suitable brightness range, or within the indistinguishable brightness range; or the set of transformation parameters associated with the brightness information of the at least one region in the second intensity map is estimated based on whether the brightness information of the at least one region is within the suitable brightness range. as well as Output an indication of the set of pixels processed or the set of estimated transform parameters.

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