Generating immersive augmented reality experience from existing images and videos

Abstract

Two-dimensional elements are identified from the one or more two-dimensional images. A volumetric content item is generated based on two-dimensional elements identified from the one or more two-dimensional images. The display device presents the volumetric content item as superimposed on a real-world environment within a field of view of a user of the display device.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This patent application claims the benefit of priority to U.S. application serial number 18 / 170,271, filed on February 16, 2023, which claims the benefit of U.S. provisional patent application 63 / 402,914, filed on August 31, 2022, entitled "Generating Immersive Augmented Reality Experiences from Existing Images and Videos," the entire contents of each of which are incorporated herein by reference. Technical Field

[0003] The present disclosure relates generally to mobile and wearable computing technologies. In particular, example embodiments of the present disclosure relate to systems, methods, and user interfaces for creating immersive augmented reality experiences from existing images and videos. Background Art

[0004] Augmented reality (AR) experience includes: whether by presenting virtual content through a transparent display through which the real-world environment can be seen, or by enhancing image data to include virtual content superimposed on the real-world environment depicted therein, to apply virtual content to the real-world environment. Virtual content may include one or more AR content items. AR content items may include audio content, visual content, or visual effects. Examples of audio and visual content include photos, text, logos, animations, and sound effects. Devices that support AR experience in any of these methods are referred to herein as "AR devices."

[0005] For some example AR devices, audio and visual content or visual effects are applied to media data, such as a real-time image stream. Other example AR devices include head-mounted devices that can be implemented with a transparent or translucent display, through which the user of the head-mounted device can view the surrounding environment. Such a device enables the user to view the surrounding environment through the transparent or translucent display, and can also see objects (e.g., virtual objects such as 3D renderings, images, videos, text, etc.) generated for display as part of the surrounding environment and / or superimposed on the surrounding environment. The user of the head-mounted device can access and use computer software applications to perform various tasks or participate in entertainment activities. In order to use the computer software application, the user interacts with the 3D user interface provided by the head-mounted device.

[0006] The so-called "Internet of Things" or "IoT" is a network of physical objects (called "smart devices" or "IoT devices") embedded with sensors, software, and other technologies to connect and exchange data with other devices via the Internet. For example, IoT devices are used for home automation to control lighting, heating and air conditioning, media and security systems, and camera systems. Several IoT-enabled devices have been provided that serve as smart home hubs to connect different smart home products. IoT devices have also been used for several other applications. Application layer protocols and supporting frameworks for implementing such IoT applications have been provided. Artificial intelligence has also been combined with IoT infrastructure to enable more efficient IoT operations, improve human-computer interaction, and enhance data management and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] To easily identify the discussion of any particular element or act, the most significant digit(s) in a reference number refers to the figure number in which the element is first introduced.

[0008] Figure 1 is a diagrammatic representation of a network environment in which a volumetric content rendering system may be deployed, according to some example embodiments.

[0009] Figure 2A is a perspective view of a head mounted device according to some example embodiments.

[0010] Figure 2B According to some example embodiments, Figure 2A Additional views of the headset.

[0011] Figure 3 is a diagram showing a method according to some example embodiments including Figure 1 A block diagram of the networking system with details of the head mounted device.

[0012] Figure 4 is a diagrammatic representation of a volumetric content rendering system having both client-side and server-side functionality, according to some example implementations.

[0013] Figure 5 is a diagrammatic representation of data structures maintained in a database according to some example implementations.

[0014] Figure 6 is a conceptual diagram illustrating an implementation in which a volumetric content presentation system identifies one or more two-dimensional elements from image data for presentation in augmented reality, according to some example implementations.

[0015] Fig. 7A is a conceptual diagram illustrating a user's field of view before one or more volumetric content items are superimposed on a real-world environment, according to some example embodiments.

[0016] Figure 7B is a conceptual diagram illustrating a user's field of view after one or more volumetric content items are superimposed on a real-world environment, according to some example embodiments.

[0017] FIG. 8A to FIG. 8D is a flow chart illustrating the operation of a volumetric content rendering system in performing a method for creating an immersive AR experience from existing image data, according to some example embodiments.

[0018] Fig. 9 is a block diagram illustrating a representative software architecture that may be used in conjunction with the various hardware architectures described herein, according to some example implementations.

[0019] Fig.10 is a block diagram illustrating components of a machine capable of reading instructions from a machine-readable medium (eg, a machine-readable storage medium) and performing any one or more of the methodologies discussed herein, according to some example embodiments. DETAILED DESCRIPTION

[0020] The following description includes systems, methods, techniques, instruction sequences and computer program products that implement the illustrative embodiments of the present disclosure. In the following description, for the purpose of illustration, many specific details are set forth to provide an understanding of the various embodiments of the subject of the present invention. However, it will be apparent to those skilled in the art that the embodiments of the subject of the present invention can be put into practice without these specific details. Usually, it is not necessary to show in detail known instruction examples, protocols, structures and techniques.

[0021] Volumetric content is an example of an augmented reality (AR) experience. Volumetric content may include volumetric video and three-dimensional space images captured in 3-D form (as well as audio signals recorded with the volumetric video and volumetric images). Recording of volumetric content includes capturing elements of a three-dimensional space, such as objects and people, from a volume using a combination of a camera and a sensor. Volumetric content includes a volumetric representation of one or more three-dimensional elements (e.g., an object or a person) of a three-dimensional space. A volumetric representation of an element (e.g., an AR content item) refers to a visual representation of a three-dimensional element in three dimensions. Presentation of volumetric content may include displaying one or more AR content items superimposed on a real-world space, which may be the same space as the three-dimensional space in which the volumetric video was captured, or a different space. Presentation of volumetric content may include: displaying one or more content items in motion; displaying one or more content items performing movement or other actions; displaying one or more content items positioned statically; or a combination thereof. Content items may be displayed during presentation of volumetric content or portions thereof.

[0022] The presentation of volumetric content may include tracking the user's position and movement in their physical real-world environment and using the tracked position and movement of the user to allow the user to move around in and interact with the presentation of volumetric content. Thus, the presentation of volumetric content may include displaying content items from multiple perspectives based on the user's movement and position changes. In this way, the presentation of volumetric content provides an immersive AR experience to the user.

[0023] Aspects of the present disclosure include systems, methods, techniques, instruction sequences, and computer program products for creating immersive augmented reality experiences from existing images and videos. Whether it is a single video from a single scene or a series of images and videos about a trip, the volumetric content rendering system described herein allows users to use metadata and visual details to create an immersive experience.

[0024] In the example, an existing image depicts a dog playing with a ball in a park. The volumetric content rendering system 100 segments different components of the image to render them in AR. The grass from the park becomes green, the background from the picture turns the wall into a similar shade, and the dog and ball are segmented and placed in the physical world as "clones" in AR. For some embodiments, the system performs the segmentation automatically. For some embodiments, the segmentation may rely on user input if the image contains too many key elements. In addition, using data such as weather, the system may render AR clouds for cloudy days or AR snow if it snows that day. If it is windy, using AI, the system may create additional effects to blow the dog's hair as if the dog is experiencing wind. Although the current example deals with a location-independent scenario, the creation of an immersive AR experience may be location-dependent and may also be more situational. For some embodiments, IoT / smart devices may be used to make the experience more immersive, such as by triggering a smart fan to add a windy effect.

[0025] Figure 1 1 is a block diagram illustrating an example volumetric content rendering system 100 for rendering volumetric content. The volumetric content rendering system 100 includes a client device 102. The client device 102 hosts several applications including a rendering client 104. Each rendering client 104 is communicatively coupled to a rendering server system 108 via a network 106 (e.g., the Internet). In an example, the client device 102 is a wearable device (e.g., smart glasses) worn by a user 124, the wearable device including a camera and an optical element including a transparent display through which the user 124 can view a real-world environment.

[0026] The presence client 104 is able to communicate and exchange data with another presence client 104 and a presence server system 108 via the network 106. The data exchanged between the presentation clients 104 and between another presentation client 104 and the presentation server system 108 includes functionality (e.g., commands to enable functionality) and payload data (e.g., text, audio, video, or other multimedia data).

[0027] The presentation server system 108 provides server-side functionality to a particular presentation client 104 via the network 106. Although certain functionality of the volumetric content presentation system 100 is described herein as being performed by the presentation client 104 or by the presentation server system 108, the location of certain functionality within the presentation client 104 or within the presentation server system 108 is a design choice. For example, it may be technically preferable to initially deploy certain technologies and functionality within the presentation server system 108, but later migrate the technologies and functionality to a presentation client 104 where the client device 102 has sufficient processing power.

[0028] The presentation server system 108 supports various services and operations provided to the presentation clients 104. Such operations include sending data to the presentation clients 104, receiving data from the presentation clients 104, and processing data generated by the presentation clients 104. Specifically, turning now to the communication server system 108, an application program interface (API) server 110 is coupled to and provides a programming interface to the application server 112. As examples, the data can include volumetric content (e.g., volumetric video), message content, device information, geo-location information, media annotations and overlays, message content persistence conditions, social network information, and real-time event information. The data exchange within the volumetric content presentation system 100 is invoked and controlled by available functions via a user interface (UI) and the presentation clients 104.

[0029] Specifically, turning now to the presentation server system 108, an application program interface (API) server 110 is coupled to and provides a programming interface to an application server 112. The application server 112 is communicatively coupled to a database server 114, which facilitates access to a database 116 in which data associated with messages processed by the application server 112 is stored.

[0030] The application program interface (API) server 110 receives and sends message data (e.g., commands and message payloads) between the client device 102 and the application server 112. Specifically, the application program interface (API) server 110 provides a set of interfaces (e.g., routines and protocols) that can be called or queried by the presence client 104 to invoke functions of the application server 112. The API server 110 exposes various functions supported by the application server 112, including: account registration, login functionality, sending messages from a particular presence client 104 to another presence client 104 via the application server 112, sending media files (e.g., volumetric video) to the presence client 104, setting a collection of media data (e.g., a story), retrieving a friend list of a user of the client device 102, retrieving such a collection, retrieving messages and content, adding and removing friends from a social graph, the location of friends within the social graph, and opening application events (e.g., related to the presence client 104).

[0031] The application server 112 hosts several server applications and subsystems, including a rendering server 118, an image processing server 120, and a social networking server 122. The rendering server 118 is generally responsible for managing volumetric content and facilitating the rendering of volumetric content by the client device 102. The image processing server 120 is dedicated to performing various image processing operations, generally related to images or videos generated and displayed by the client device 102. The rendering server 118 and the image processing server 120 can work in conjunction to provide one or more AR experiences to the user 124. For example, the rendering server 118 and the image processing server 120 can work in conjunction to support the rendering of volumetric content by the client device 102. Further details regarding the rendering of volumetric content are discussed below.

[0032] The social network server 122 supports various social networking functions and services and makes these functions and services available to the presence server 118. To this end, the social network server 122 maintains and accesses an entity graph within the database 116. Examples of functions and services supported by the social network server 122 include identification of other users of the volumetric content presentation system 100 who have a relationship with a particular user or who the particular user is "following", and also includes identification of interests and other entities of a particular user.

[0033] The application server 112 is communicatively coupled to a database server 114 , which facilitates access to a database 116 in which data associated with content rendered by a rendering server 118 and an image processing server 120 is stored.

[0034] The presence server system 108 may also communicate and exchange data with one or more network-connected devices 126. For some devices, the presence server system 108 may communicate and exchange data directly with the network-connected device(s) 126, while in other instances, the presence server system 108 may communicate and exchange data with the network-connected device(s) 126 via the network server(s) 128 (e.g., a third-party application). For example, the network server(s) 128 may expose one or more APIs for communicating with the network-connected device(s) 126. Examples of data communicated between the presence server system 108 and the one or more network-connected devices include device state data and sensor data as well as or as part of various requests and commands. Figure 1 As shown in , in some embodiments, the client device 102 (e.g., Figure 2A The display device such as glasses 200 in the figure is different from the network connection device(s) 126.

[0035] As used herein, the term “network-connected device” includes devices known to those skilled in the art as “IoT devices.” Thus, network-connected devices 126 may include common household and other devices that a standard end user may encounter, such as smart lights and bulbs, thermostats, smart televisions, smart speakers, smart switches, smart appliances (e.g., washers, dryers, stoves, and microwaves), navigation systems, and the like.

[0036] Figure 2A is a perspective view of a head mounted display device (eg, glasses 200) according to some examples. Glasses 200 are Figure 1 The glasses 200 are examples of client devices 102. The glasses 200 are capable of displaying content and are therefore examples of display devices, which will be referred to below. In addition, the display capabilities of the glasses 200 support AR experiences, and therefore the glasses 200 are examples of AR devices. As described above, the AR experience includes applying virtual content to the real-world environment, whether by presenting the virtual content through a transparent display through which the real-world environment can be seen, or by augmenting the image data to include virtual content superimposed on the real-world environment depicted therein.

[0037] The glasses 200 may include a frame 202 made of any suitable material, such as plastic or metal, including any suitable shape memory alloy. In one or more examples, the frame 202 includes a first optical element holder or a left optical element holder 204 (e.g., a display or lens holder) and a second optical element holder or a right optical element holder 206 connected by a bridge 212. A first optical element or a left optical element 208 and a second optical element or a right optical element 210 may be disposed in the left optical element holder 204 and the right optical element holder 206, respectively. The right optical element 210 and the left optical element 208 may be lenses, displays, display components, or a combination of the foregoing. Any suitable display component may be disposed in the glasses 200.

[0038] Frame 202 additionally includes a left arm or temple piece 222 and a right arm or temple piece 224. In some examples, frame 202 can be formed from a single piece of material to have a unitary or integrated construction.

[0039] The glasses 200 may include a computing device such as a computer 220, which may be of any suitable type so as to be carried by the frame 202, and in one or more examples, the computing device may be of a suitable size and shape to be partially disposed in one of the temple pieces 222 or temple pieces 224. The computer 220 may include one or more processors as well as memory, wireless communication circuitry, and a power supply. As discussed below, the computer 220 includes a low-power circuitry, a high-speed circuitry, and a display processor. Various other examples may include these elements in different configurations or integrated together in different ways. Additional details of various aspects of the computer 220 may be implemented as shown in the data processor 302 discussed below.

[0040] The computer 220 additionally includes a battery 218 or other suitable portable power source. In some examples, the battery 218 is disposed in the left temple piece 222 and is electrically coupled to the computer 220 disposed in the right temple piece 224. The glasses 200 may include a connector or port (not shown) suitable for charging the battery 218, a wireless receiver, transmitter or transceiver (not shown), or a combination of such devices.

[0041] The glasses 200 include a first or left camera 214 and a second or right camera 216. Although two cameras are depicted, other examples contemplate the use of a single or additional (i.e., more than two) cameras. In one or more examples, the glasses 200 include any number of input sensors or other input / output devices in addition to the left camera 214 and the right camera 216. Such sensors or input / output devices may additionally include biometric sensors, position sensors, motion sensors, etc.

[0042] In some examples, left camera 214 and right camera 216 provide video frame data for glasses 200 to use to extract 3D information from a real-world scene.

[0043] The glasses 200 may also include a touchpad 226 mounted to or integrated with one or both of the left temple piece 222 and the right temple piece 224. The touchpad 226 is typically arranged vertically, with the touchpad 226 being approximately parallel to the temple of the user in some examples. As used herein, generally vertical alignment means that the touchpad is more vertical than horizontal, but may be more vertical than the vertical described above. Additional user input may be provided by one or more buttons 228, which in the example shown are disposed on the outer upper edges of the left optical element holder 204 and the right optical element holder 206. The one or more touchpads 226 and buttons 228 provide a means by which the glasses 200 can receive input from the user of the glasses 200.

[0044] Figure 2B The glasses 200 are shown from the user's perspective. Figure 2A Several elements shown in FIG. have been omitted. Figure 2A As described in Figure 2B The illustrated eyeglasses 200 include a left optical element 208 and a right optical element 210 secured within a left optical element holder 204 and a right optical element holder 206, respectively.

[0045] The glasses 200 include a forward optical assembly 230 including a right projector 232 and a right near-eye display 234 , and a forward optical assembly 238 including a left projector 240 and a left near-eye display 244 .

[0046] In some examples, the near-eye display is a waveguide. The waveguide includes a reflective structure or a diffractive structure (e.g., a grating and / or an optical element such as a mirror, lens, or prism). Light 236 emitted by projector 232 encounters the diffractive structure of the waveguide of near-eye display 234, which directs the light toward the right eye of the user to provide an image on or in the right optical element 210 that is superimposed on the view of the real world seen by the user. Similarly, light 242 emitted by projector 240 encounters the diffractive structure of the waveguide of near-eye display 244, which directs the light toward the left eye of the user to provide an image on or in the left optical element 208 that is superimposed on the view of the real world seen by the user. The combination of the GPU, the front optical assembly 230, the left optical element 208, and the right optical element 210 provides an optical engine of the glasses 200. The glasses 200 use the optical engine to generate an overlay of the user's real-world view, including displaying a 3D user interface to the user of the glasses 200.

[0047] However, it should be understood that other display technologies or configurations may be used within the optical engine to display images to the user in the user's field of view. For example, instead of the projector 232 and waveguide, an LCD, LED or other display panel or surface may be provided.

[0048] In use, the user of the glasses 200 will be presented with information, content, and various 3D user interfaces on the near-eye display. As described in more detail herein, the user can then use the touch pad 226 and / or buttons 228, associated devices (e.g., Figure 3 The user can interact with the glasses 200 by voice input or touch input on a client device 328 shown in FIG. 1 and / or hand movements, position, and orientation detected by the glasses 200 .

[0049] Figure 3 is a block diagram showing a networked system 300 including details of the glasses 200 according to some examples. The networked system 300 includes the glasses 200, a client device 328, and a server system 332. The client device 328 may be a smartphone, a tablet computer, a tablet phone, a laptop computer, an access point, or any other such device capable of connecting to the glasses 200 using both a low power wireless connection 336 and / or a high speed wireless connection 334. The client device 328 is connected to the server system 332 via a network 330. The network 330 may include any combination of wired and wireless connections. The server system 332 may be one or more computing devices that are part of a service or network computing system. The server system 332 may be a server system 332 that is a networked computing system that may be used separately. Fig. 9 and Fig.10 The details of the software architecture 920 or machine 1000 described in the implementation of the client device 328 and any elements of the server system 332 and network 330.

[0050] The glasses 200 include a data processor 302, a display 310, one or more cameras 308, and additional input / output elements 316. The input / output elements 316 may include a microphone, an audio speaker, a biometric sensor, an additional sensor, or an additional display element integrated with the data processor 302. Fig. 9 and Fig.10 Examples of input / output elements 316 are further discussed. For example, input / output elements 316 may include any I / O components 1018, including output components 1026, motion components 1034, etc. Figure 2B Examples of display 310 are discussed in . In the particular examples described herein, display 310 includes displays for the left and right eyes of a user.

[0051] Data processor 302 includes image processor 306 (eg, video processor), GPU and display driver 338, tracking module 340, interface 312, low power circuitry 304, and high speed circuitry 320. Components of data processor 302 are interconnected by bus 342.

[0052] The interface 312 refers to any source of user commands provided to the data processor 302. In one or more examples, the interface 312 is a physical button that, when pressed, sends a user input signal from the interface 312 to the low-power processor 314. The low-power processor 314 can process pressing such a button and then immediately releasing it as a request to capture a single image, and vice versa. The low-power processor 314 can process pressing such a button for a first period of time as a request to capture video data when the button is pressed and stop video capture when the button is released, wherein the video captured when the button is pressed is stored as a single video file. Alternatively, pressing the button for a long period of time can capture a still image. In some examples, the interface 312 can be any mechanical switch or physical interface capable of accepting user input associated with requesting data from the camera 308. In other examples, the interface 312 can have a software component, or can be associated with a command received wirelessly from another source, such as from the client device 328.

[0053] Image processor 306 includes circuitry for receiving signals from camera 308 and processing those signals from camera 308 into a format suitable for storage in memory 324 or for transmission to client device 328. In one or more examples, image processor 306 (e.g., a video processor) includes a microprocessor integrated circuit (IC) customized for processing sensor data from camera 308, and volatile memory used by the microprocessor in operation.

[0054] The low power circuit system 304 includes a low power processor 314 and a low power wireless circuit system 318. These elements of the low power circuit system 304 can be implemented as separate elements or can be implemented on a single IC as part of a single system on a chip. The low power processor 314 includes logic for managing other elements of the glasses 200. As described above, for example, the low power processor 314 can accept user input signals from the interface 312. The low power processor 314 can also be configured to receive input signals or command communications from a client device 328 via a low power wireless connection 336. The low power wireless circuit system 318 includes circuit elements for implementing a low power wireless communication system. Bluetooth TM Smart, also known as Bluetooth TM Low power consumption is a standard implementation of a low power wireless communication system that may be used to implement the low power wireless circuitry 318. In other examples, other low power communication systems may be used.

[0055] High-speed circuit system 320 includes a high-speed processor 322, a memory 324, and a high-speed wireless circuit system 326. High-speed processor 322 can be any processor capable of managing high-speed communications and operations of any general-purpose computing system used by data processor 302. High-speed processor 322 includes processing resources used to manage high-speed data transmission on high-speed wireless connection 334 using high-speed wireless circuit system 326. In some examples, high-speed processor 322 executes an operating system such as a LINUX operating system or other such operating system. In addition to any other duties, high-speed processor 322 using the software architecture of executing data processor 302 manages data transmission with high-speed wireless circuit system 326. In some examples, high-speed wireless circuit system 326 is configured to implement the Institute of Electrical and Electronics Engineers (IEEE) 802.11 communication standard, which is also referred to as Wi-Fi herein. In other examples, high-speed wireless circuit system 326 can implement other high-speed communication standards.

[0056] Memory 324 includes any storage device capable of storing camera data generated by camera 308 and image processor 306. Although memory 324 is shown as being integrated with high-speed circuitry 320, in other examples, memory 324 may be a separate, independent element of data processor 302. In some such examples, electrical wiring may provide a connection from image processor 306 or low-power processor 314 to memory 324 through a chip including high-speed processor 322. In other examples, high-speed processor 322 may manage addressing of memory 324 so that low-power processor 314 will direct high-speed processor 322 whenever a read or write operation involving memory 324 is desired.

[0057] The tracking module 340 estimates the pose of the glasses 200. For example, the tracking module 340 uses image data and corresponding inertial data from the camera 308 and the positioning component and GPS data to track the position and determine the pose of the glasses 200 relative to a reference frame (e.g., a real-world environment). The tracking module 340 continuously collects and uses updated sensor data describing the movement of the glasses 200 to determine an updated three-dimensional pose of the glasses 200, which indicates changes in relative position and orientation relative to physical objects in the real-world environment. The tracking module 340 allows the glasses 200 to visually place virtual content relative to physical objects within the user's field of view via the display 310.

[0058] The GPU and display driver 338 can use the pose of the glasses 200 to generate frames of virtual content or other content to be presented on the display 310 when the glasses 200 are operating in a conventional augmented reality mode. In this mode, the GPU and display driver 338 generate updated frames of virtual content based on the updated three-dimensional pose of the glasses 200, which reflects changes in the user's position and orientation relative to physical objects in the user's real-world environment.

[0059] One or more functions or operations described herein may also be performed in an application resident on the glasses 200 or on the client device 328 or on a remote server. The glasses 200 may be a stand-alone client device capable of independent operation, or may be a companion device that works with a host device to offload intensive processing and / or exchange data with the presentation server system 108 over the network 106. The glasses 200 may also be communicatively coupled to a companion device such as a smartwatch and may be configured to exchange data with the companion device. The glasses 200 may also include various components common to mobile electronic devices such as smart glasses or smart phones (e.g., including a display controller for controlling the display of visual media on a display mechanism incorporated in the device).

[0060] Figure 41 is a block diagram showing more details about a volumetric content rendering system 100 according to some examples. Specifically, the volumetric content rendering system 100 is shown to include a rendering client 104 and an application server 112. The volumetric content rendering system 100 contains several subsystems, which are supported on the client side by the rendering client 104 and on the server side by the application server 112. For example, these subsystems include: a collection management system 402, a rendering control system 404, an enhancement system 406, and an immersive experience creation system 408.

[0061] The collection management system 402 is responsible for managing sets or collections of content (e.g., collections of text, images, video, and audio data). Collections of content may be organized into "event libraries" or "event stories." Such collections may be made available for a specified period of time (e.g., for the duration of an event to which the content relates). For example, content related to a concert may be made available as a "story" for the duration of the concert. The collection management system 402 may also be responsible for publishing an icon to the user interface of the presentation client 104 that provides notification that a particular collection exists.

[0062] In addition, the collection management system 402 includes a curation interface 412 that allows a collection manager to manage and curate a specific content collection. For example, the curation interface 412 enables an event organizer to curate a collection of content related to a specific event (e.g., to remove inappropriate content or redundant messages). In addition, the collection management system 402 uses machine vision (or image recognition technology) and content rules to automatically curate content collections.

[0063] The presentation control system 404 is responsible for facilitating and controlling the volumetric content presentation. Thus, the presentation control system 404 provides a mechanism that allows a user to specify control operations for controlling the volumetric content presentation. For example, the control operations may include: a stop operation that stops the presentation; a pause operation that pauses the presentation; a fast-forward operation that advances the presentation at a higher speed; a rewind operation that rewinds the presentation; a zoom-in operation that increases the zoom level of the presentation; a zoom-out operation that decreases the zoom level of the presentation; and a play speed modification operation that changes the speed of the presentation (e.g., to produce a slow motion presentation of the volumetric video).

[0064] For some embodiments, a user may access the system through one or more I / O components (examples of I / O components are described below). Fig.10Detailed description further) provides one or more inputs to specify an input indicating a control operation for controlling the presentation of the volumetric content. For some embodiments, the presentation control system 404 may provide an interactive control interface including one or more interactive elements (e.g., virtual buttons) to trigger the control operation, and the presentation control system 404 monitors interactions with the interactive interface to detect input indicating the control operation. For some embodiments, the user may trigger the control operation using a gesture (e.g., a hand gesture or a head gesture) that may be associated with a particular control operation.

[0065] The enhancement system 406 provides various functions that enable a user to enhance (e.g., annotate or otherwise modify or edit) media content. For example, the enhancement system 406 provides functions related to the generation, publication, and application of enhancement data, such as media overlays (e.g., image filters) to volumetric content. Media overlays can include audio and visual content and visual effects. Examples of audio and visual content include photos, text, logos, animations, and sound effects. Examples of visual effects include color overlays. Audio and visual content or visual effects can be applied to media content items (e.g., photos) at the client device 102. For example, a media overlay can include text or images that can be superimposed on top of a photo taken by the client device 102. The enhancement system 406 provides one or more media overlays to the presentation client 104 when in operation based on the geographic location of the client device 102 or based on other information such as social network information of a user of the client device 102. The media overlays can be stored in the database 116 and accessed through the database server 114.

[0066] A filter is an example of a media overlay that is displayed as an overlay on an image or video during presentation to a user. Filters can be of various types, including filters selected by a user from a set of filters presented to a user by presentation client 104. Other types of filters include geolocation filters (also referred to as geofilters), which can be presented to a user based on a geographic location. For example, presentation client 104 can present geolocation filters specific to nearby or special locations within a user interface based on geographic location information determined by a global positioning system (GPS) unit of client device 102.

[0067] Another type of filter is a data filter, which can be selectively presented to the user by the presentation client 104 based on other input or information collected by the client device 102. Examples of data filters include the current temperature at a particular location, the current speed at which the sending user is traveling, the battery life of the client device 102, or the current time.

[0068] AR content items are another example of a media overlay. AR content items may be real-time special effects and / or sounds that may be added to images or videos, including volumetric images and volumetric videos.

[0069] In general, AR content items, overlays, image transformations, images, and similar terms refer to modifications that can be applied to image data (e.g., videos or images) that include volumetric content. This includes real-time modifications that modify images as they are captured using a device sensor (e.g., one or more cameras) of the client device 102 and then displayed and modified by a display device (e.g., an embedded display of the client device) of the client device 102. This also includes modifications to stored content, such as volumetric videos in a gallery or collection that can be modified. For example, in a client device 102 that has access to multiple AR content items, a user can use a single video with multiple AR content items to see how different AR content items will modify the stored video. For example, by selecting different AR content items for the content, multiple augmented reality content items that apply different pseudo-random movement models can be applied to the same content. Similarly, real-time video capture can be used with the modifications shown to show how the video image currently captured by the sensor of the client device 102 will modify the captured data. Such data can be simply displayed on the screen without being stored in memory, or the content captured by the device sensor can be recorded and stored in memory with or without modification (or both). In some systems, the preview feature can show how different augmented reality content items will be displayed in different windows of the display at the same time. For example, this can enable viewing multiple windows with different pseudo-random animations on the display at the same time.

[0070] Thus, data and various systems using augmented reality content items or other such augmented systems using augmented data to modify content may involve detection of objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.) in video frames, tracking such objects as they leave, enter, and move around in the field of view, and modifying or transforming such objects as they are tracked. In various examples, different methods for implementing such transformations may be used. Some examples may involve: generating a three-dimensional mesh model of one or more objects; and using transformations and animated textures of the models within a video to implement the transformations. In other examples, tracking of points on an object may be used to place an image or texture (which may be two-dimensional or three-dimensional) at a tracked location. In yet another example, neural network analysis of a video frame may be used to place an image, model, or texture in content (e.g., a frame of an image or video). Thus, an AR content item refers to both images, models, and textures used to create transformations in content, as well as additional modeling and analysis information required to implement such transformations using object detection, tracking, and placement.

[0071] Real-time video processing can be performed with any kind of video data (e.g., video streams, video files, volumetric video, etc.) stored in the memory of any kind of computerized system. For example, a user can load video files and store them in the memory of the device, or a sensor of the device can be used to generate a video stream. In addition, any object, such as a human face and parts of a human body, an animal, or a non-living thing (e.g., a chair, a car, or other objects) can be processed using computer animation models.

[0072] In some examples, when a specific modification is selected together with the content to be enhanced (e.g., edited), the element to be transformed is identified by the computing device, and then if the element to be transformed is present in the frame of the video, the element to be transformed is detected and tracked. The elements of the object are modified according to the request for modification, so the frame of the video stream is transformed. For different types of transformations, the frame transformation of the video stream can be performed by different methods. For example, for frame transformations that mainly involve changing the form of the elements of the object, characteristic points for each element of the object are calculated (e.g., using active shape models (ASM) or other known methods). Then, for each element of at least one element of the object, a grid based on the characteristic points is generated. The grid can be used for subsequent stages of tracking the elements of the object in the video stream. In the tracking process, the mentioned grid for each element is aligned with the position of each element. Then, additional points are generated on the grid. A set of first points is generated for each element based on the modification request, and a set of second points is generated for each element based on the set of first points and the modification request. Then, the frame of the video stream can be transformed by modifying the elements of the object based on the set of first points and the set of second points and the grid. In such methods, the background of the modified object may also be changed or distorted by tracking and modifying the background.

[0073] In some examples, a transformation that changes certain areas of an object using elements of an object can be performed by calculating characteristic points of each element of the object and generating a grid based on the calculated characteristic points. Points are generated on the grid, and then various areas based on the points are generated. The elements of the object are then tracked by aligning the area of ​​each element with the position of each element of at least one element, and the properties of the area can be modified based on the modification request, thereby transforming the frame of the video stream. Depending on the specific modification request, the properties of the mentioned area can be transformed in different ways. Such modifications may involve: changing the color of the area; removing at least some parts of the area from the frame of the video stream; including one or more new objects into the area based on the modification request; and modifying or distorting the elements of the area or object. In various examples, any combination of such modifications or other similar modifications may be used. For certain models to be animated, some characteristic points can be selected as control points to determine the entire state space of model animation options.

[0074] In some examples of computer animation models that use face detection to transform image data, faces are detected on an image using a specific face detection algorithm (e.g., Viola-Jones). An active shape model (ASM) algorithm is then applied to the face region of the image to detect facial feature reference points.

[0075] Other methods and algorithms suitable for face detection can be used. For example, in some examples, landmarks are used to locate features, and landmarks represent distinguishable points that are present in most of the images considered. For example, for facial landmark points, the location of the left eye pupil can be used. If the initial landmark is not recognizable (for example, if the person has an eye mask), secondary landmarks can be used. Such a boundary recognition process can be used for any such object. In some examples, a set of landmarks forms a shape. The coordinates of the points in the shape can be used to represent the shape as a vector. A shape is aligned with another shape using a similarity transformation (allowing translation, scaling, and rotation) that minimizes the average Euclidean distance between the shape points. The mean shape (meanshape) is the average value of the aligned training shapes.

[0076] In some examples, the landmark search begins with an average shape that aligns with the position and size of the face determined by a global face detector. Such a search then repeats the steps of suggesting tentative shapes by adjusting the positions of shape points by template matching of the image texture around each point, and then conforming the tentative shapes to a global shape model until convergence occurs. In some systems, template matching alone is unreliable, and the shape model pools the results of weak template matches to form a stronger overall classifier. The entire search is repeated at each level of the image pyramid from coarse to fine resolution.

[0077] The augmentation system 406 can capture an image or video stream on a client device (e.g., client device 102) and perform complex image manipulations locally on the client device 102 while maintaining an appropriate user experience, computation time, and power consumption. Complex image manipulations can include size and shape changes, emotion conversions (e.g., changing a face from a frown to a smile), state transitions (e.g., aging an object, reducing apparent age, changing gender), style transfer, application of graphical elements, and any other suitable image or video manipulations enabled by a convolutional neural network that has been configured to execute efficiently on the client device 102.

[0078] In some examples, the enhancement system 406 may use a computer animation model for transforming video and image content, where a neural network operates as part of a rendering client 104 operating on a client device 102. The enhancement system 406 determines the presence of a face within an image or video stream and provides an interactive modification element (e.g., an icon) associated with a computer animation model for transforming image data, or the computer animation model may exist as associated with an interface described herein. The interactive modification element includes a change that can modify the basis of the user's face within the image or video content as part of a modification operation. Once the interactive modification element is selected, the transformation system initiates a process of transforming the user's image to reflect the selected interactive modification element (e.g., generating a smiley face on the user). Once the image or video stream is captured and the specified modification is selected, the modified image or video content can be presented in a graphical user interface displayed on the client device 102. The enhancement system 406 can implement a complex convolutional neural network on a portion of the image or video content to generate and apply the selected modification. That is, the modified content can be presented to the user in real time or near real time. In addition, the modification can persist while the content is being presented. Machine learning neural networks can be used to implement such modifications.

[0079] The immersive experience creation system 408 is responsible for creating an immersive AR experience based on existing images and videos. In doing so, the immersive experience creation system 408 can utilize one or more known machine learning or artificial intelligence image processing techniques to segment the images and videos to identify key elements. The immersive experience creation system 408 generates volumetric content items for each key element that can be utilized in creating an immersive AR experience. Further details on the creation and presentation of immersive AR experiences are discussed below.

[0080] Figure 5 is a diagrammatic representation of data structures maintained in database 116 according to some examples. Although the contents of database 116 are shown as including several tables, it should be understood that data may be stored in other types of data structures (eg, as an object-oriented database).

[0081] The entity table 506 stores entity data and is linked (e.g., by reference) to the entity graph 508 and the profile data 502. The entities whose records are maintained within the entity table 506 may include individuals, corporate entities, organizations, objects, places, events, etc. Regardless of the entity type, any entity for which the presence server system 108 stores data may be an identified entity. Each entity is provided with a unique identifier as well as an entity type identifier (not shown). The entity table 506 may associate various enhancements from the enhancement table 510 with various images and videos stored in the image table 514 and the video table 512.

[0082] The entity graph 508 stores relationships and associated information between entities. Such relationships may be, for example, social, professional (e.g., working in a common company or organization), interest-based, or activity-based.

[0083] The profile data 502 stores various types of profile data about a particular entity. Based on the privacy settings specified by the particular entity, the profile data 502 can be selectively used and presented to other users of the volumetric content presentation system 100. In the case where the entity is a person, the profile data 502 includes, for example, a user name, a phone number, an address, settings (e.g., notification and privacy settings), and an avatar representation (or a collection of such avatar representations) selected by the user.

[0084] The database 116 also stores augmentation data (e.g., including AR content items and overlays of filters) in augmentation table 510. The augmentation data is associated with and applied to videos (whose data is stored in video table 512) and images (whose data is stored in image table 514), including volumetric videos and volumetric images.

[0085] The story table 516 stores data about a collection of content, including associated image, video, or audio data, compiled into a collection (e.g., a story or library). The creation of a particular collection can be initiated by a particular user (e.g., each user whose record is maintained in the entity table 506). A user can create a "personal story" in the form of a collection of content that has been created and sent / broadcasted by the user. To this end, the user interface of the presentation client 104 may include an icon that is user-selectable to enable the sending user to add specific content to his or her personal story.

[0086] As mentioned above, the video table 512 stores video data including volumetric videos. Similarly, the image table 514 stores image data including volumetric images.

[0087] Figure 6 6 is a conceptual diagram illustrating an example in which the volumetric content presentation system 100 identifies one or more two-dimensional elements from a two-dimensional image 610 for presentation as part of an augmented reality experience. As shown, the two-dimensional image 610 includes a plurality of two-dimensional elements: a sun 602, two birds 604, a cloud 606, a dog 608, grass, and trees. To individually identify the elements in the two-dimensional image 610, the volumetric content presentation system 100 can perform image segmentation on the two-dimensional image 610 using various known segmentation algorithms. Furthermore, in this example, the cloud 606 is identified based on user input.

[0088] The volumetric content presentation system 100 generates a volumetric content item based on the two-dimensional elements identified in the two-dimensional image 610. For example, the volumetric content presentation system 100 generates a volumetric content item 612 based on the sun 602 identified in the two-dimensional image 610. When generating the volumetric content item, the volumetric content presentation system 100 can adjust or automatically adjust the size of the volumetric content item based on image analysis or based on user input. That is, the volumetric content presentation system 100 can utilize one or more scaling techniques when generating the volumetric content item 612.

[0089] Fig. 7A and Figure 7B is a conceptual diagram illustrating an example augmented reality experience provided to a user 702 of a user device 704. The user device 704 is Figure 1 An example of a client device 102. Fig. 7A An example field of view of a user standing in a real-world environment, which is a room in this example, is shown. As shown, a plurality of real-world elements in the field of view of the user 124 include a floor, a wall, a window, and a bookshelf.

[0090] Figure 7B An example field of view of a user 702 is shown after the volumetric content rendering system 100 causes the user device 704 to render volumetric content items as overlays on a real-world environment. Volumetric content items representing grass are rendered as overlays on the ground surface, volumetric content items representing the sun, trees, and clouds are rendered as overlays on the wall, and a volumetric content item representing a dog 608 is placed on the floor in the real-world environment (i.e., a room) as a "clone" in AR, thereby providing the user with an AR experience 702. The size of the volumetric content item 612 has also been proportionally adjusted (e.g., scaled) to fit the real-world environment.

[0091] Fig. 8A 800 is a flowchart illustrating the operation of a volumetric content rendering system when performing a method for providing an immersive AR experience based on existing image data according to some examples. The method 800 may be implemented in computer-readable instructions for execution by one or more processors, such that the operations of the method 800 may be performed in part or in whole by functional components of the volumetric content rendering system 100; therefore, the method 800 is described below by way of example with reference thereto. However, it should be understood that at least some of the operations of the method 800 may be deployed on various other hardware configurations besides the volumetric content rendering system 100.

[0092] At operation 802, the volumetric content presentation system 100 accesses image data including one or more two-dimensional images. The image data may include any one or more of a digital image, a video frame, or a physical copy of a photograph. The image data may be stored in and accessed from a database (e.g., database 116) or a memory of a wearable device (e.g., client device 102) or a mobile device.

[0093] In a first example, the image data includes a two-dimensional image depicting a puppy running in a meadow. The image data is stored in a memory component of the client device 102. The volumetric content rendering system 100 accesses the image data from the memory component based on user input.

[0094] In a second example, the image data includes a two-dimensional image based on a physical copy of a photograph depicting a puppy running. The two-dimensional image can be generated by capturing a photograph of a physical copy of a photograph of a running puppy in preparation for further operations.

[0095] At operation 804, the volumetric content presentation system 100 identifies a two-dimensional element depicted in one or more two-dimensional images. The two-dimensional image element may correspond to a virtual or real-world object. For example, the two-dimensional image element may correspond to an animal, a person, a plant, a landscape, a building, the sun, the moon, or the sky.

[0096] For some embodiments, to identify the two-dimensional image elements, the volumetric content rendering system 100 performs image segmentation on the image data to identify and extract the two-dimensional elements. The volumetric content rendering system 100 can utilize any one or more known digital image processing and computer vision techniques, including known machine learning and artificial intelligence image segmentation and classification techniques, when performing image segmentation. For some embodiments, to segment or extract the two-dimensional image elements from one or more two-dimensional images, the volumetric content rendering system 100 relies on user input to delineate at least some of the two-dimensional elements in the image.

[0097] At operation 806, the volumetric content presentation system 100 generates a volumetric content item based on the two-dimensional elements identified from the image data. The volumetric content item includes a volumetric representation of the two-dimensional elements identified from the two-dimensional image. The format of the volumetric content item is compatible with the format presented using the client device, so that the volumetric content item looks like a part of their surrounding environment (e.g., a real-world environment) and / or superimposed on their surrounding environment to the user using the client device. Returning to the example of the image of a puppy running in the grass, the puppy, the grass, and the sky are the identified two-dimensional image elements. A volumetric content item is created for each or more of the puppy, the grass, and the sky.

[0098] Thus, in some instances, a set of two-dimensional elements may be identified from the image data, and a volumetric content item may be generated for only a subset of the elements. For some embodiments, the selection of one or more specific two-dimensional elements from the two-dimensional image elements identified by image segmentation may be automatically performed by the volumetric content rendering system 100. Returning again to the example of an image of a puppy running in the grass, although all of the puppy, grass, and blue sky may be identified based on the image segmentation, the volumetric content rendering system 100 may select only the puppy for creation of the volumetric content item.

[0099] For some embodiments, in order to select a specific two-dimensional element from a plurality of identified two-dimensional elements, the volumetric content presentation system 100 provides an interactive interface operable to receive a selection of one of a plurality of two-dimensional image elements for generating a volumetric content item. For example, the volumetric content presentation system 100 may cause a display device to present the interactive interface. The volumetric content presentation system 100 may receive input indicating a selection of a two-dimensional image element for generating a volumetric content item based on a user's interaction with the interactive interface. The interactive interface presents a plurality of two-dimensional image elements segmented from image data and allows a user to select one or more two-dimensional elements for generating a volumetric content item. In an example, the image data includes a two-dimensional image depicting a road full of cars. The volumetric content presentation system 100 may identify each car as a segmented element of the image. In this example, the interactive interface presents the image in such a manner that a user can select a subset of the cars on the road as a basis for generating one or more volumetric content items.

[0100] At operation 808, the volumetric content presentation system 100 causes the display device to present the volumetric content item as superimposed on the real-world environment visible within the field of view of the user of the display device. In this way, the presentation of the volumetric content item makes the volumetric content item appear as if it is in the real-world environment.

[0101] For some embodiments, the volumetric content item is presented as superimposed on the real-world environment based on an association between the volumetric content item and an element (or surface) in the real-world environment. Consistent with these embodiments, the reason for the presentation of the volumetric content item includes: identifying or detecting a real-world element in the real-world environment, and generating or identifying an association between the volumetric content item and the identified real-world element. Based on the association between the volumetric content item and the identified real-world element, the volumetric content presentation system 100 presents the volumetric content item as superimposed on the real-world environment. For some embodiments, the volumetric content presentation system 100 causes the display device to present the volumetric content item as superimposed on the real-world environment at a location within the real-world environment based on an association with the real-world element (e.g., a location of the real-world element in the real-world environment). The real-world element includes an object or person in the real world. Some example real-world elements are floors, walls, and tables. By presenting the volumetric content item as superimposed on the associated real-world element, the realism and immersion of the AR experience are enhanced. For example, a volumetric content item representing grass can be associated with a ground surface and presented as an overlay on the ground to provide an AR experience in which a user stands on the grass and can walk on the grass.

[0102] In order to generate an association between a volumetric content item and an identified real-world element, the volumetric content presentation system 100 may provide an interactive interface operable to receive an association between the volumetric content item and the real-world element. For example, the volumetric content presentation system 100 may cause a display device to present the interactive interface. The volumetric content presentation system 100 receives an input indicating a selection of an association between the volumetric content item and the real-world element from the interactive interface.

[0103] For some embodiments, in response to detecting that the position of the wearable device is within a threshold distance of a position depicted by one or more images, the presentation of the volumetric content item can be automatically triggered. For example, the image data may include one or more images depicting a first location. For example, the volumetric content presentation system 100 can determine the first location based on metadata associated with the image data. The volumetric content presentation system 100 can determine a second location associated with the display device (e.g., based on location data from the display device, a complementary device of which the display device is a primary device, or a complementary device of the display device). In response to determining that the second location is within a threshold distance of the first location, the volumetric content presentation system 100 can cause the volumetric content item to be presented.

[0104] For some embodiments, the presentation of the volumetric content item may include presenting a visual effect along with the volumetric content item. For example, the volumetric content presentation system 100 may obtain metadata included in or associated with the image data, and determine the visual effect to present along with the volumetric content item based on the obtained metadata. The metadata provides information about the image data, including information about the real-world environment associated with the image data. The real-world environment associated with the image data may be the same real-world environment in which the volumetric content item is superimposed, or a different real-world environment. In some examples, the information may include weather conditions, date, time of day, person, and location. The information corresponds to the creation time of the image data. In a specific example, the two-dimensional image depicts a dog running in the rain. The metadata associated with the image includes weather data indicating the raining conditions at the time the image was generated. The metadata may include machine-generated data and / or user input. The metadata may be obtained from multiple sources including the image data, one or more camera devices that generate the image data, and a third-party server.

[0105] A visual effect is determined based on the obtained metadata and presented along with the volumetric content item. The visual effect includes one or more enhancements to be applied to the real-world environment. The visual effect may include an animation. In an example, a rain animation is presented along with the presentation of the volumetric content item based on weather data from the metadata indicating rain conditions.

[0106] The volumetric content rendering system 100 enables a display device to generate visual effects in conjunction with a volumetric content item to apply to a real-world environment. The rendering of the visual effects makes the real-world environment appear to the user as if the real-world environment were in a similar situation in which the two-dimensional image was captured. In an example, the real-world environment is an indoor office, and the metadata indicates a rainy weather condition. The visual effects including a raining animation are rendered as an overlay on the user's field of view in the indoor office in conjunction with the volumetric content item.

[0107] For some embodiments, the presentation of the volumetric content item includes the presentation of an animation effect associated with the volumetric content item based on the determined visual effect. The animation effect associated with the volumetric content item includes a visual enhancement of the volumetric content item that makes the volumetric content item appear more consistent with the visual effect generated based on the metadata. In an example, the presentation of the volumetric representation of the dog, grass, and sky is superimposed on the real-world environment along with a raining animated visual effect. In this example, the volumetric content presentation system 100 can present three animation effects combined with the volumetric representation of the dog, grass, and sky. The animation effect associated with the volumetric representation of the dog makes the dog look wet; the animation effect associated with the volumetric representation of the grass makes the grass look wet and a small pond begins to form; the animation effect associated with the volumetric representation of the sky makes the sky look darker. As another example, when a visual effect of wind is presented based on metadata, the animation effect associated with the volumetric representation of the dog makes the animated wind blow the dog's hair.

[0108] In some embodiments, the presentation of the volumetric content item includes determining a real-world effect and causing a network-connected device (e.g., an IoT device or other smart device) to provide the real-world effect. The real-world effect may be associated with a function provided by the network-connected device. For example, example network-connected devices include a smart fan, a smart thermostat, and a smart light bulb. Real-life effects are created by causing network-connected devices in the real-world environment to perform certain functions to create a situation in the real-world environment that can be associated with a visual effect. The real-world effect may be determined based on metadata associated with the image data. For example, a windy condition may be a real-world effect determined based on metadata associated with the image data (e.g., weather data included in the metadata). Based on the determined windy condition associated with the image data, the volumetric content presentation system 100 may cause a smart fan in the real-world environment to be activated to achieve a windy-like condition in the real-world environment, thereby adding a real-life effect to the presentation of the volumetric content item. In another example, a sunny condition associated with the image data is determined based on metadata. In response, the volumetric content presentation system 100 may cause a smart thermostat to be activated at a high temperature, and cause a smart light in the real-world environment to change color to bright yellow.

[0109] In some embodiments, the presentation of the volumetric content items includes presentation of one or more virtual objects in combination with the volumetric content items superimposed on the real-world environment. A virtual object is a computer-generated object that is imaginary, fictitious, or no longer exists in the real world. For example, a virtual object may be a dinosaur, a fire-breathing dragon, a zombie, or a wizard. The volumetric virtual items generated based on the virtual objects may be stored in a library of volumetric virtual items (e.g., stored in database 116).

[0110] At operation 810, the volumetric content rendering system 100 generates volumetric content based on the rendering of the volumetric content item superimposed on the real-world environment. The volumetric content may also include audio data including one or more audio signals, and thus the rendering of the volumetric content may include rendering the one or more audio signals. The new volumetric content includes: the volumetric content item, the one or more audio signals, and one or more elements of the real-world environment. In some instances, the volumetric content includes a volumetric representation of the volumetric content item and the one or more elements of the real-world environment. At operation 812, the volumetric content rendering system 100 stores the volumetric content for subsequent rendering.

[0111] like Figure 8B As shown in , in some embodiments, the method 800 may also include an operation 814. Consistent with these embodiments, the operation 814 may be performed as part of the volumetric content rendering system 100 identifying two-dimensional elements depicted in one or more two-dimensional images in operation 804. As described above, the two-dimensional image elements may correspond to virtual or real-world objects, such as animals, people, plants, landscapes, buildings, the sun, the moon, or the sky. At operation 814, the volumetric content rendering system 100 performs image segmentation on the image data to identify the two-dimensional elements. When performing image segmentation, the volumetric content rendering system 100 may utilize any one or more known digital image processing and computer vision techniques, including known machine learning and artificial intelligence image segmentation and classification techniques.

[0112] like Figure 8C As shown in , in some embodiments, method 800 may further include operations 816 and 818. Consistent with these embodiments, operations 816 and 818 may be performed as part of the volumetric content presentation system 100 identifying two-dimensional elements depicted in one or more two-dimensional images in operation 804. At operation 816, the volumetric content presentation system 100 provides an interactive interface that enables a user to identify two-dimensional elements from the image data. Thus, the interactive interface may include a presentation of the image data with one or more interactive elements, which allows the user to select and / or specify the two-dimensional elements depicted in the image data. When providing the interactive interface, the volumetric content presentation system 100 may cause a user device (e.g., client device 102) to present the interactive interface.

[0113] At operation 818, the volumetric content presentation system 100 receives input indicating user identification of a two-dimensional element. In some examples, the input is generated by the user 124 outlining the two-dimensional element in the image using touch, gesture, or one or more interactive elements.

[0114] like Fig.8DAs shown in , in some embodiments, method 800 may also include operations 820, 822, and 824. Consistent with these embodiments, operations 820, 822, and 824 may be performed as part of operations 806 operations 820, 822, and 824. At operation 820, the volumetric content presentation system 100 identifies a real-world element in the real-world environment. At operation 822, the volumetric content presentation system 100 associates a volumetric content item with the real-world element. At operation 824, the volumetric content presentation system 100 renders the volumetric content item based on the association with the real-world element. In an example, the volumetric content item is rendered at a predefined distance from the real-world element based on the association. In another example, the volumetric content item is rendered as an overlay on the real-world element based on the association. When rendering the volumetric content item, the volumetric content presentation system 100 may perform one or more scaling operations to adjust the size of the volumetric content item. The adjustment may be automatically determined based on the characteristics of the real-world environment and the volumetric content item, or the adjustment may be determined based on user input. As an example, the size of the volumetric content item may be adjusted (scaled) to match the size of the real-world element.

[0115] By returning the reference Figure 6 and Fig. 7A as well as Figure 7B In the example shown in , the volumetric content rendering system 100 identifies the wall 708 as a real-world element (at operation 820), associates the volumetric content item 612 with the wall 708 (at operation 822), and the volumetric content rendering system 100 renders the volumetric content item 612 as superimposed on the wall 708 (at operation 824).

[0116] Fig. 9 is a block diagram illustrating an example software architecture 920 that may be used in conjunction with the various hardware architectures described herein. Fig. 9 is a non-limiting example of a software architecture, and it will be appreciated that many other architectures may be implemented to facilitate the functionality described herein. Software architecture 920 may be implemented in a system such as Fig.10 1000, which includes a processor 1004, a memory / storage device 1006, and an I / O component 1018. A representative hardware layer 928 is shown and can represent, for example Fig.10 The machine 1000 of the embodiment of the present invention. The representative hardware layer 928 layer includes a processing unit 922 with associated executable instructions 930. The executable instructions 930 represent executable instructions of the software architecture 920, including implementations of the methods, components, etc. described herein. The hardware layer 928 also includes a memory and / or storage module 924 also having executable instructions 930. The hardware layer 928 may also include other hardware 926.

[0117] exist Fig. 9 In the exemplary architecture shown, software architecture 920 can be conceptualized as a layer stack, wherein each layer provides specific functionality. For example, software architecture 920 may include layers such as operating system 940, library 918, framework / middleware 910, application 904, and presentation layer 902. In operation, application 904 and / or other components within the layer may call API call 942 through the software stack and receive a response to API call 942 as message 944. The layers shown are representative in nature, and not all software architectures have all layers. For example, some mobile or dedicated operating systems may not provide framework / middleware 910, while other operating systems may provide such layers. Other software architectures may include additional layers or different layers.

[0118] The operating system 940 can manage hardware resources and provide public services. For example, the operating system 940 can include a core 934, a server 936, and a driver 938. The core 934 can serve as an abstraction layer between the hardware and other software layers. For example, the core 934 can be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, etc. The server 936 can provide other public services to other software layers. The driver 938 is responsible for controlling or connecting to the underlying hardware. For example, depending on the hardware configuration, the driver 938 includes a display driver, a camera driver, drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers), Drivers, audio drivers, power management drivers, etc.

[0119] The library 918 provides a common infrastructure used by the application 904 and / or other components and / or layers. The library 918 provides functions that allow other software components to perform tasks in an easier way than directly interfacing with the underlying operating system 940 functions (e.g., the core 934, the server 936, and / or the driver 938). The library 918 may include a system library 912 (e.g., a C standard library), which may provide functions such as memory allocation functions, string manipulation functions, mathematical functions, etc. In addition, the library 918 may include an API library 914, such as a media library (e.g., a library that supports the presentation and manipulation of various media formats such as MPEG4, H.2104, MP3, AAC, AMR, JPG, and PNG), a graphics library (e.g., an OpenGL framework that can be used to render 2D and 3D graphics content on a display), a database library (e.g., SQLite that can provide various relational database functions), a web library (e.g., WebKit that can provide web browsing functions), etc. The library 918 may also include various other libraries 916 to provide many other APIs to the application 904 and other software components / modules.

[0120] The framework / middleware 910 provides a higher level common infrastructure that can be used by the applications 904 and / or other software components / modules. For example, the framework / middleware 910 can provide various GUI functions, advanced resource management, advanced location services, etc. The framework / middleware 910 can provide a wide range of other APIs that can be utilized by the applications 904 and / or other software components / modules, some of which can be specific to a particular operating system 940 or platform.

[0121] Applications 904 include built-in applications 906 and / or third-party applications 908. Examples of representative built-in applications 906 may include, but are not limited to, contact applications, browser applications, book reader applications, location applications, media applications, messaging applications, and / or game applications. Third-party applications 908 may include applications that are developed by entities other than the vendor of a particular platform using ANDROID TM or IOS TM Software Development Kit (SDK) for developing applications and can be used on platforms such as IOS TM ANDROID TM , Mobile software running on the mobile operating system of the phone or other mobile operating systems. The third-party application 908 can call API calls 942 provided by the mobile operating system (eg, operating system 940) to facilitate the functions described herein.

[0122] Applications 904 may create user interfaces to interact with users of the system using built-in operating system functionality (e.g., kernels 934, servers 936, and / or drivers 938), libraries 918, and framework / middleware 910. Alternatively or additionally, in some systems, interaction with the user may occur through a presentation layer such as presentation layer 902. In these systems, the application / component "logic" may be separated from aspects of the application / component that interact with the user.

[0123] Fig.10 1 is a block diagram illustrating components of a machine 1000 capable of reading instructions from a machine-readable medium (e.g., a machine-readable storage medium) and performing any one or more of the methods discussed herein, according to some example embodiments. Specifically, Fig.10 A graphical representation of a machine 1000 in the example form of a computer system is shown, within which instructions 1010 (e.g., software, programs, applications, applet, app, or other executable code) for causing the machine 1000 to perform any one or more of the methods discussed herein may be executed. Thus, the instructions 1010 may be used to implement the modules or components described herein. The instructions 1010 convert a general-purpose, unprogrammed machine 1000 into a specific machine 1000 that is programmed to perform the functions described and shown in the described manner. In alternative embodiments, the machine 1000 operates as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 1000 may operate as a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 1000 may include, but is not limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a PDA, an entertainment media system, a cellular phone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web device, a network router, a network switch, a network bridge, or any machine capable of sequentially or otherwise executing the instructions 1010 specifying actions to be taken by the machine 1000. In addition, while only a single machine 1000 is shown, the term "machine" should also be taken to include a collection of machines that individually or jointly execute the method 800 to perform any one or more of the methodologies discussed herein.

[0124] The machine 1000 may include a processor 1004, a memory / storage device 1006, and an I / O component 1018, which may be configured to communicate with each other, for example, via a bus 1002. In an example embodiment, the processor 1004 (e.g., a CPU, a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a GPU, a digital signal processor (DSP), an ASIC, a radio frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor 1008 and a processor 1016 that may execute instructions 1010. Although Fig.10 Multiple processors 1004 are shown, but the machine 1000 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiple cores, or any combination thereof.

[0125] The memory / storage 1006 may include a memory 1012, such as a main memory or other storage device, and a storage unit 1014, both of which are accessible to the processor 1004, for example, via the bus 1002. The storage unit 1014 and the memory 1012 store instructions 1010 that embody any one or more of the methods or functions described herein. During execution of the instructions 1010 by the machine 1000, the instructions 1010 may also reside, completely or partially, within the memory 1012, within the storage unit 1014, within at least one of the processors 1004 (e.g., within a cache memory of a processor), or within any suitable combination thereof. Thus, the memory 1012, the storage unit 1014, and the memory of the processor 1004 are examples of machine-readable media.

[0126] I / O components 1018 may include a variety of components that receive input, provide output, generate output, send information, exchange information, capture measurements, etc. The specific I / O components 1018 included in a particular machine 1000 will depend on the type of machine. For example, a portable machine such as a mobile phone will likely include a touch input device or other such input mechanism, while a headless server machine will likely not include such a touch input device. It will be appreciated that I / O components 1018 may include Fig.101028. The I / O components 1018 are grouped according to function only to simplify the following discussion, and the grouping is by no means limiting. In various example embodiments, the I / O components 1018 may include output components 1026 and input components 1028. The output components 1026 may include visual components (e.g., displays such as plasma display panels (PDPs), light emitting diode (LED) displays, liquid crystal displays (LCDs), projectors, or cathode ray tubes (CRTs)), auditory components (e.g., speakers), tactile components (e.g., vibration motors, resistance mechanisms), other signal generators, etc. The input components 1028 may include alphanumeric input components (e.g., keyboards, touch screens configured to receive alphanumeric input, optical keyboards, or other alphanumeric input components), point-based input components (e.g., mice, touch pads, trackballs, joysticks, motion sensors, or other pointing instruments), touch input components (e.g., physical buttons, touch screen displays or other touch input components that provide the location and / or force of touch or touch gestures), audio input components (e.g., microphones), etc.

[0127] In other example embodiments, the I / O component 1018 may include a biometric component 1030, a motion component 1034, an environmental component 1036, or a positioning component 1038, as well as various other components. For example, the biometric component 1030 may include a component for detecting expressions (e.g., hand expressions, facial expressions, voice expressions, body postures, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition), etc. The motion component 1034 may include: an acceleration sensor component (e.g., an accelerometer), a gravity sensor component, a rotation sensor component (e.g., a gyroscope), etc. The environment component 836 may include, for example, an illumination sensor component (e.g., a photometer), a temperature sensor component (e.g., one or more thermometers that detect ambient temperature), a humidity sensor component, a pressure sensor component (e.g., a barometer), an acoustic sensor component (e.g., one or more microphones that detect background noise), a proximity sensor component (e.g., an infrared sensor that detects nearby objects), a gas sensor (e.g., a gas sensor that detects concentrations of hazardous gases for safety or measures pollutants in the atmosphere), or other components that can provide indications, measurements, or signals corresponding to the surrounding physical environment. The positioning component 1038 may include a position sensor component (e.g., a global positioning system (GPS) receiver component), an altitude sensor component (e.g., an altimeter or barometer that detects air pressure that can provide altitude), an orientation sensor component (e.g., a magnetometer), etc.

[0128] A variety of technologies may be used to achieve communication. I / O components 1018 may include communication components 1040 that are operable to couple machine 1000 to network 1032 or device 1020 via coupling 1024 and coupling 1022, respectively. For example, communication components 1040 may include network interface components or other suitable devices to interface with network 1032. In other examples, communication components 1040 may include wired communication components, wireless communication components, cellular communication components, near field communication (NFC) components, Bluetooth components (e.g., Bluetooth low energy), Wi-Fi components, and other communication components that provide communication via other modalities. Device 1020 may be another machine or any of a variety of peripheral devices (e.g., a peripheral device coupled via USB).

[0129] In addition, the communication component 1040 can detect the identifier or can include a component that can be operated to detect the identifier. For example, the communication component 840 can include a radio frequency identification (RFID) tag reader component, an NFC smart tag detection component, an optical reader component (e.g., an optical sensor for detecting the following items: a one-dimensional barcode, such as a universal product code (UPC) barcode; a multi-dimensional barcode, such as a quick response (QR) code, an Aztec code, a data matrix, a data glyph, a MaxiCode, a PDF4114, a super code, a UCC RSS-2D barcode, and other optical codes), or an acoustic detection component (e.g., a microphone for identifying an audio signal of a tag). In addition, various information can be obtained via the communication component 1040, such as a location obtained via Internet Protocol (IP) geolocation, a location obtained via Wi-Fi signal triangulation, a location obtained via detecting an NFC beacon signal that can indicate a specific location, etc.

[0130] Glossary

[0131] "Carrier signal" in this context refers to any intangible medium capable of storing, encoding or carrying instructions for execution by a machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such instructions. Instructions may be sent or received over a network using a transmission medium via a network interface device and using any of a number of well-known transmission protocols.

[0132] A "client device" in this context refers to any machine that interfaces with a communication network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, a desktop computer, a laptop computer, a PDA, a smart phone, a tablet computer, an ultrabook, a netbook, a laptop computer, a multiprocessor system, a microprocessor-based or programmable consumer electronics system, a game console, a set-top box, or any other communication device that a user may use to access a network.

[0133] A "communication network" in this context refers to one or more parts of a network, which may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a part of the Internet, a part of the public switched telephone network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, A network, another type of network, or a combination of two or more such networks. For example, the network or a portion of the network may include a wireless or cellular network, and the coupling to the network may be a code division multiple access (CDMA) connection, a global system for mobile communications (GSM) connection, or another type of cellular or wireless coupling. In this example, the coupling may implement any of various types of data transmission technologies, such as single carrier radio transmission technology (1xRTT), evolution data optimized (EVDO) technology, general packet radio service (GPRS) technology, enhanced data rate for GSM evolution (EDGE) technology, including the third generation partnership project (3GPP) of 3G, fourth generation wireless (4G) network, universal mobile telecommunications system (UMTS), high speed packet access (HSPA), world wide interoperability for microwave access (WiMAX), long term evolution (LTE) standard, other standards defined by various standard setting organizations, other remote protocols or other data transmission technologies.

[0134] "Machine-readable medium" in this context refers to a component, device, or other tangible medium capable of temporarily or permanently storing instructions and data, and may include, but is not limited to, random access memory (RAM), read-only memory (ROM), buffer memory, flash memory, optical media, magnetic media, cache memory, other types of storage devices (e.g., erasable programmable read-only memory (EPROM)), and / or any suitable combination thereof. The term "machine-readable medium" should be deemed to include a single medium or multiple media capable of storing instructions (e.g., centralized or distributed databases or associated caches and servers). The term "machine-readable medium" should also be deemed to include any medium or combination of multiple media capable of storing instructions (e.g., code) for machine execution, such that the instructions, when executed by one or more processors of the machine, cause the machine to perform any one or more of the methods described herein. Thus, "machine-readable medium" refers to a single storage device or device as well as a "cloud-based" storage system or storage network comprising multiple storage devices or devices. The term "machine-readable medium" does not include the signal itself.

[0135] A "component" in this context refers to a logical or device, physical entity having boundaries defined by function or subroutine calls, branch points, APIs, or other techniques that provide partitioning or modularization of specific processing or control functions. Components may interface with other components via their interfaces to perform machine processes. A component may be a packaged functional hardware unit designed for use with other components, and is part of a program that generally performs specific functions of related functions. A component may constitute a software component (e.g., code embodied on a machine-readable medium) or a hardware component.

[0136] A "hardware component" is a tangible unit that can perform certain operations and can be configured or arranged in a physical manner. In various example embodiments, one or more computer systems (e.g., an independent computer system, a client computer system, or a server computer system) or one or more hardware components (e.g., a processor or a processor group) of a computer system can be configured by software (e.g., an application or an application part) to operate to perform certain operations as described herein. Hardware components can also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include a dedicated circuit or logic that is permanently configured to perform certain operations. A hardware component may be a dedicated processor, such as a field programmable gate array (FPGA) or an ASIC. A hardware component may also include a programmable logic or circuit system that is temporarily configured to perform certain operations by software. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor.

[0137] Once configured by such software, the hardware component becomes a specific machine (or specific component of a machine) that is uniquely customized to perform the configured function, rather than a general-purpose processor. It will be understood that the decision to implement the hardware component mechanically in a dedicated and permanently configured circuit system or in a temporarily configured (e.g., configured by software) circuit system can be made for cost and time considerations. Therefore, the phrase "hardware component" (or "hardware-implemented component") should be understood to include a tangible entity, that is, an entity that is physically constructed, permanently configured (e.g., hardwired) or temporarily configured (e.g., programmed) to operate in a certain manner or perform certain operations described herein.

[0138] Considering implementations where hardware components are temporarily configured (e.g., programmed), it is not necessary to configure or instantiate each of the hardware components at any one time in a timely manner. For example, where the hardware components include a general-purpose processor that is configured by software to be a special-purpose processor, the general-purpose processor can be configured as a respective different special-purpose processor (e.g., including different hardware components) at different times. The software configures one or more specific processors accordingly, for example, to constitute a specific hardware component at one time and to constitute a different hardware component at a different time.

[0139] Hardware components can provide information to other hardware components and receive information from other hardware components. Accordingly, the described hardware components can be considered to be communicatively coupled. In the case of multiple hardware components simultaneously, communication can be achieved by signal transmission between two or more hardware components in the hardware components (e.g., by appropriate circuits and buses). In an embodiment in which multiple hardware components are configured or instantiated at different times, communication between such hardware components can be achieved, for example, by storing information in a memory structure accessed by multiple hardware components and retrieving information in the memory structure. For example, a hardware component can perform an operation, and the output of the operation is stored in a memory device coupled to the communication. Then, other hardware components can access the memory device at a subsequent time to retrieve and process the stored output. The hardware component can also initiate communication with an input or output device, and can operate on resources (e.g., the collection of information).

[0140] The various operations of the example methods described herein may be performed at least in part by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the related operations. Whether temporarily configured or permanently configured, such a processor may constitute a processor-implemented component that operates to perform one or more operations or functions described herein. As used herein, "processor-implemented components" refer to hardware components implemented using one or more processors. Similarly, the methods described herein may be implemented at least in part by a processor, wherein one or more specific processors are examples of hardware. For example, at least some of the operations of the method may be performed by one or more processors or processor-implemented components.

[0141] In addition, one or more processors may also operate to support the execution of related operations in a "cloud computing" environment or operate as "software as a service" (SaaS). For example, at least some operations may be performed by a group of computers (as an example of a machine including a processor), wherein these operations can be accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., application programming interface (API)). The execution of certain operations in the operation may be distributed between processors, not just resident in a single machine but deployed across multiple machines. In some example embodiments, a processor or a component implemented by a processor may be located in a single geographic location (e.g., in a home environment, an office environment, or a server cluster). In other example embodiments, a processor or a component implemented by a processor may be distributed across multiple geographic locations.

[0142] A "processor" in this context refers to any circuit or virtual circuit (a physical circuit simulated by logic executed on an actual processor) that manipulates data values ​​according to control signals (e.g., "commands," "opcodes," "machine codes," etc.) and produces corresponding output signals that are applied to operate a machine. For example, a processor may be a CPU, a RISC processor, a CISC processor, a GPU, a DSP, an ASIC, an RFIC, or any combination thereof. A processor may also be a multi-core processor having two or more independent processors (sometimes referred to as "cores") that can execute instructions simultaneously.

[0143] A "timestamp" in this context refers to a sequence of characters or encoded information that identifies when some event occurred (e.g., giving a date and time of day), sometimes to within a fraction of a second.

Claims

1. A method comprising: identifying two-dimensional elements from one or more two-dimensional images; generating a volumetric content item based on the two-dimensional element identified from the one or more two-dimensional images, the volumetric content item representing the two-dimensional element; as well as The volumetric content item is caused to be presented by a display device as superimposed on a real-world environment within a field of view of a user of the display device.

2. The method according to claim 1, further comprising: providing an interactive interface operable to receive a user identification of the two-dimensional element from the one or more two-dimensional images; as well as Input is received indicating the user identification of the two-dimensional element, wherein the identification of the two-dimensional element is based on the input.

3. The method according to claim 1, wherein: Identifying the two-dimensional element from the one or more two-dimensional images includes performing image segmentation on the one or more two-dimensional images.

4. The method according to claim 1, wherein: Causing the volumetric content item to be presented as superimposed on the real-world environment comprises: identifying real-world elements in the real-world environment; associating the volumetric content item with the real-world element from the real-world environment; and The volumetric content item is caused to be presented, by the display device, as superimposed on the real-world environment at a location based on an association between the volumetric content item and the real-world element.

5. The method according to claim 4, wherein: Generating an association between the one or more volumetric content items and the one or more identified real-world elements comprises: presenting an interactive interface operable to receive an association between the volumetric content item and the real-world element; and Input is received indicating an association between the volumetric content item and the real-world element.

6. The method according to claim 1, further comprising: obtaining metadata associated with the one or more two-dimensional images; generating a visual effect based on the metadata, the visual effect comprising one or more enhancements to be applied to the real-world environment; as well as The visual effect applied to the real-world environment is caused to be presented through a display device.

7. The method according to claim 6, wherein: Causing presentation of the visual effect applied to the real-world environment includes causing presentation of an animation effect in conjunction with the volumetric content item.

8. The method according to claim 1, further comprising: obtaining metadata associated with the one or more two-dimensional images; determining a real-world effect based on the metadata, the real-world effect being associated with a functionality provided by the network-connected device; as well as The network-connected devices in the real-world environment are caused to provide the real-world effects.

9. The method according to claim 1, further comprising: generating volumetric content based on a rendering of the volumetric content item superimposed on the real-world environment; as well as The volumetric content is stored for subsequent presentation.

10. The method of claim 1, wherein: The one or more images depict a first location; as well as The method further comprises: determining a second location associated with the display device; determining that the second location is within a threshold distance of the first location; and In response to determining that the second location is within the threshold distance of the first location, causing presentation of the volumetric content item.

11. A system comprising: one or more hardware processors; as well as at least one memory storing instructions that cause the one or more hardware processors to perform operations comprising: identifying two-dimensional elements from one or more two-dimensional images; generating a volumetric content item based on the two-dimensional elements identified from the one or more two-dimensional images; and The volumetric content item is caused to be presented by a display device as superimposed on a real-world environment within a field of view of a user of the display device.

12. The system according to claim 11, wherein: The operations also include: providing an interactive interface operable to receive a user identification of the two-dimensional element from the one or more two-dimensional images; and Input is received indicating the user identification of the two-dimensional element, wherein the identification of the two-dimensional element is based on the input.

13. The system according to claim 11, wherein: Identifying the two-dimensional element from the one or more two-dimensional images includes performing image segmentation on the one or more two-dimensional images.

14. The system according to claim 11, wherein: Causing the volumetric content item to be presented as superimposed on the real-world environment comprises: identifying real-world elements in said real-world environment; associating the volumetric content item with the real-world element from the real-world environment; and The volumetric content item is caused to be presented, by the display device, as superimposed on the real-world environment at a location based on an association between the volumetric content item and the real-world element.

15. The system of claim 14, wherein: Generating an association between the one or more volumetric content items and the one or more identified real-world elements comprises: presenting an interactive interface operable to receive an association between the volumetric content item and the real-world element; and Input is received indicating an association between the volumetric content item and the real-world element.

16. The system according to claim 11, wherein: The operations also include: obtaining metadata associated with the one or more two-dimensional images; generating a visual effect based on the metadata, the visual effect comprising one or more enhancements to be applied to the real-world environment; and The visual effect applied to the real-world environment is caused to be presented through the display device.

17. The system of claim 16, wherein: Causing presentation of the visual effect applied to the real-world environment includes causing presentation of an animation effect in conjunction with the volumetric content item.

18. The system of claim 11, wherein: The operations also include: obtaining metadata associated with the one or more two-dimensional images; determining a real-world effect based on the metadata, the real-world effect associated with a functionality provided by the network-connected device; and The network-connected devices in the real-world environment are caused to provide the real-world effects.

19. The system of claim 11, wherein: The operations also include: generating volumetric content based on a rendering of the volumetric content item superimposed on the real-world environment; and The volumetric content is stored for subsequent presentation.

20. A machine-readable medium storing instructions that, when executed by a computer system, cause the computer system to perform operations comprising: identifying two-dimensional elements from one or more two-dimensional images; generating a volumetric content item based on the two-dimensional element identified from the one or more two-dimensional images; as well as The volumetric content item is caused to be presented by a display device as superimposed on a real-world environment within a field of view of a user of the display device.

Images