An image determination method, device, wearable device, electronic device, medium and product

Abstract

This invention discloses an image determination method, apparatus, wearable device, electronic device, medium, and product. The method includes: acquiring the interaural distance and wearing tilt angle of a target wearing the wearable device, as well as two images captured by two camera modules of the wearable device and the camera's field of view. The interaural distance and wearing tilt angle are acquired through a measurement component in the wearable device. Based on the interaural distance, wearing tilt angle, and camera field of view, the overlapping pixel coordinate range of the wearable device is determined. Based on the overlapping pixel coordinate range, the overlapping portions of the two images are fused to obtain the captured image. By measuring the interaural distance and wearing tilt angle of the target and determining the overlapping pixel coordinate range of the occluded area, accurate adaptation of the occluded area coordinates to different face shapes can be achieved. Targeted filtering is performed based on the accurate coordinate range, reducing the computational load of subsequent image processing algorithms, thereby improving the efficiency and quality of the synthesized image.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, and in particular to an image determination method, apparatus, wearable device, electronic device, medium, and product. Background Technology

[0002] In recent years, artificial intelligence technology has rapidly iterated in areas such as perception and interaction, and edge intelligent computing, driving wearable audio devices towards multi-functional integration. Camera-enabled headphones have gradually moved from conceptual prototypes to commercial products. These devices integrate miniature camera modules into the headphone shell, enabling hands-free real-time image capture, scene recognition, and visual assistance. This expands the application boundaries of traditional audio devices and has broad application potential in scenarios such as daily recording, information assistance, and interactive control, becoming an important innovative direction for smart wearable devices.

[0003] Existing camera-capable earphones typically employ a technical architecture where images are captured by the earphone and processed by a mobile terminal. The earphone's built-in camera transmits the raw image data to the paired smartphone via a wireless communication link. The smartphone then runs AI processing algorithms such as image cropping, target extraction, and image quality optimization to remove invalid occluded areas from the image and output a composite image that meets the user's expectations.

[0004] However, the camera on the headphones is affected by the user's head size, wearing posture and hairstyle. It is easy to introduce hair and ear contours to block and interfere with the imaging area. It needs to be cropped before it can be synthesized. The dynamic range of the cropping is also very large. When dealing with the high dynamic range cropping needs, it will consume a lot of mobile terminal computing power and memory resources, resulting in excessively long processing time for a single image, which makes it difficult to meet the user experience requirements of instant shooting and fast preview. Summary of the Invention

[0005] This invention provides an image determination method, apparatus, wearable device, electronic device, medium, and product to achieve accurate adaptation of occlusion region coordinates to different face shapes, reducing computational load and improving the efficiency and quality of synthesized images.

[0006] According to a first aspect of the present invention, an image determination method is provided, comprising:

[0007] The interauricular distance and wearing tilt angle of the target wearing the wearable device are obtained, as well as two images and the camera field of view captured by the two camera modules of the wearable device. The interauricular distance and the wearing tilt angle are obtained by the measurement components in the wearable device. The two camera modules are located on the left and right ears of the target, respectively.

[0008] The overlapping pixel coordinate range of the wearable device is determined based on the interauricular arc distance, the wearing tilt angle, and the camera field of view.

[0009] Based on the overlapping pixel coordinate range, the overlapping portions of the two images are fused to obtain the captured image.

[0010] According to a second aspect of the present invention, an image determining apparatus is provided, comprising:

[0011] The information acquisition module is used to acquire the interauricular distance and wearing tilt angle of the target wearing the wearable device, as well as two images and the camera field of view captured by the two camera modules of the wearable device. The interauricular distance and the wearing tilt angle are acquired by the measurement component in the wearable device. The two camera modules are located on the left and right ears of the target, respectively.

[0012] The overlap determination module is used to determine the overlap pixel coordinate range of the wearable device based on the interauricular arc distance, the wearing tilt angle, and the camera field of view.

[0013] The image filtering module is used to fuse the overlapping portions of the two images based on the overlapping pixel coordinate range to obtain the captured image.

[0014] According to a third aspect of the present invention, a wearable device is provided, the wearable device comprising a left main body, a right main body, and a main control unit, wherein both the left main body and the right main body include a camera module and a measurement component, the main control unit is disposed in the left main body and / or the right main body, the left main body is worn on the left ear of a target, and the right main body is worn on the right ear of the target;

[0015] The camera module is used to capture images;

[0016] The measuring component is used to measure the interauricular distance and wearing angle of the target;

[0017] The main control unit is used to transmit the captured image to the associated device.

[0018] According to a fourth aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0019] At least one processor; and

[0020] A memory communicatively connected to the at least one processor; wherein,

[0021] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the image determination method according to any embodiment of the present invention.

[0022] According to a fifth aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the image determination method according to any embodiment of the present invention.

[0023] According to a sixth aspect of the present invention, embodiments of the present invention also provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the image determination method of any embodiment of the present invention.

[0024] The technical solution of this invention obtains the interauricular distance and wearing tilt angle of the target wearing a wearable device, as well as two images captured by two camera modules of the wearable device and the camera's field of view. The interauricular distance and wearing tilt angle are obtained through a measurement component in the wearable device. The two camera modules are located at the left and right ears of the target, respectively. Based on the interauricular distance, wearing tilt angle, and camera field of view, the overlapping pixel coordinate range of the wearable device is determined. Based on the overlapping pixel coordinate range, the overlapping parts in the two images are fused to obtain the captured image. By measuring the interauricular distance and wearing tilt angle of the target and determining the overlapping pixel coordinate range of the occluded area, accurate adaptation of the occluded area coordinates to different face shapes can be achieved. Targeted filtering is performed based on the accurate coordinate range, reducing the computational load of subsequent image processing algorithms, thereby improving the efficiency and quality of the synthesized image.

[0025] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a flowchart of an image determination method provided according to Embodiment 1 of the present invention;

[0028] Figure 2 This is a flowchart illustrating the structural principle of an image determination method according to Embodiment 1 of the present invention.

[0029] Figure 3 This is a schematic diagram of the structure of an image determining device according to Embodiment 2 of the present invention;

[0030] Figure 4 This is a schematic diagram of the structure of a wearable device according to Embodiment 3 of the present invention;

[0031] Figure 5 This is another structural schematic diagram of a wearable device provided according to Embodiment 3 of the present invention;

[0032] Figure 6 This is a schematic diagram of the structure of an electronic device that implements an embodiment of the present invention. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0035] Example 1

[0036] Figure 1 This is a flowchart illustrating an image determination method according to Embodiment 1 of the present invention. This embodiment is applicable to image processing in wearable devices with camera functionality. The method can be executed by an image determination device, which can be implemented in hardware and / or software and can be configured within an electronic device. Figure 1 As shown, the method includes:

[0037] S110. Obtain the interauricular distance and wearing tilt angle of the target wearing the wearable device, as well as two images and camera field of view captured by the two camera modules of the wearable device. The interauricular distance and wearing tilt angle are obtained by the measurement component in the wearable device. The two camera modules are located on the left and right ears of the target, respectively.

[0038] In this embodiment, a wearable device can be understood as a device with image acquisition capabilities that can be directly worn on the human body, such as headphones. The target can be understood as the person wearing the wearable device. The interauricular distance can be understood as the length of an arc along the surface of the head from the wearing position on one ear to the wearing position on the other ear, i.e., the arc distance from the left ear through the face to the right ear. The wearing tilt angle can be understood as the angle formed by the central axis of the two headphones and the normal to the ear contour of the head when the wearable device is worn on the side of the head. The camera field of view (FOV) can be understood as the core parameter of the spatial range that the camera can capture. The measurement component can be understood as the hardware set in the wearable device for measuring the interauricular distance and wearing tilt angle. The camera module can be understood as a miniature camera assembly integrated into the wearable device. If the wearable device is in the form of headphones, then there are two integrated camera modules, which can be worn on the left and right ears of the target respectively. The image can be understood as the scene captured by the camera module.

[0039] Specifically, the wearable device integrates measurement components. After the target wears the device, the device prompts the target to perform auxiliary measurements of interaural distance and wearing angle. The target operates the measurement components according to the device's prompts to determine the interaural distance, reflecting individual differences in head circumference and head shape, and the wearing angle, reflecting the actual wearing posture of the wearable device. The processor can be a mobile phone or computer, establishing a communication connection with the wearable device. The processor can receive the interaural distance and wearing angle values ​​sent by the wearable device, and can also manually input them by the target. Images are captured by two camera modules integrated into the wearable device and transmitted to the processor, which then obtains two images captured at the left and right ear positions.

[0040] S120. Determine the range of overlapping pixel coordinates of the wearable device based on the interauricular arc distance, wearing tilt angle, and camera field of view.

[0041] In this embodiment, the overlapping pixel coordinate range can be understood as the range of pixel coordinates used to characterize the occluded area in the form of pixel coordinates.

[0042] Specifically, the processor can construct a world coordinate system and determine the extension direction of the headphone camera's field of view based on the wearing tilt angle and the camera's field of view. The processor can also determine the intersection region of the camera's field of view in the world coordinate system based on the headphone's arc distance and wearing tilt angle, and then determine the range of overlapping pixel coordinates in the pixel coordinate system for this intersection region.

[0043] S130. Based on the coordinate range of overlapping pixels, the overlapping parts of the two images are fused to obtain the captured image.

[0044] In this embodiment, the overlapping portion can be understood as not the overlap of the effective target area, but rather the overlapping area of ​​the occlusion (hair, ear outline) in the images captured by the two cameras. The captured image can be understood as the image after fusing the occlusion area (the aforementioned overlapping portion).

[0045] Specifically, the processor can perform pixel-level filtering on the original image captured by the wearable device, that is, retain the valid pixels in the original image that do not fall within the coordinate range of the overlapping pixels, and fuse the overlapping pixels that fall within the coordinate range to obtain a clear image without obstruction and overlapping afterimages. This image can be directly used for subsequent image compositing.

[0046] The technical solution of this invention obtains the interauricular distance and wearing tilt angle of the target wearing a wearable device, as well as two images captured by two camera modules of the wearable device and the camera's field of view. The interauricular distance and wearing tilt angle are obtained through a measurement component in the wearable device. The two camera modules are located at the left and right ears of the target, respectively. Based on the interauricular distance, wearing tilt angle, and camera field of view, the overlapping pixel coordinate range of the wearable device is determined. Based on the overlapping pixel coordinate range, the overlapping parts in the two images are fused to obtain the captured image. By measuring the interauricular distance and wearing tilt angle of the target and determining the overlapping pixel coordinate range of the occluded area, accurate adaptation of the occluded area coordinates to different face shapes can be achieved. Targeted filtering is performed based on the accurate coordinate range, reducing the computational load of subsequent image processing algorithms, thereby improving the efficiency and quality of the synthesized image.

[0047] Furthermore, the measuring component includes a winding thread with length markings, through which the interauricular distance between the target ears is determined.

[0048] In this embodiment, the winding cable can be understood as a flexible measuring component with built-in length markings that can be wound / unwound. When not in use, it can be stored inside the wearable device without affecting the wearing and appearance of the headphones.

[0049] Specifically, when the target is wearing the wearable device, the winding of the measuring component can be pulled (if there are measuring components on both sides, the windings on both sides can be pulled to overlap; if there is a measuring component on one side, the windings can be pulled from one side to the other). After unwinding the winding, the scale value is read, which is the interaural distance between the target's ears.

[0050] Furthermore, the measuring component includes an angle measuring sub-component with an angle scale, which determines the wearing tilt angle of the target.

[0051] In this embodiment, the angle measurement sub-component can be understood as a component used to measure and read the wearing tilt angle, such as a component with a dial that can be integrated into the shell of a wearable device.

[0052] Specifically, the housing or coil of the wearable device forms a pointer or mark. When wearing the wearable device, the pointer rotates synchronously with the angle at which the wearable device fits the head, eventually pointing to a specific angle value on the dial, which is the wearing tilt angle.

[0053] Furthermore, based on the above embodiments, the step of determining the overlapping pixel coordinate range of the wearable device according to the interauricular arc distance, wearing tilt angle, and camera field of view can be refined as follows:

[0054] Based on the interauricular arc distance, wearing tilt angle, and camera field of view, the facial occlusion distance characteristics of the target are determined; based on the facial occlusion distance characteristics and camera field of view, the occlusion coordinate range in the world coordinate system is determined; based on the set algorithm, the occlusion coordinate range is converted into the overlapping pixel coordinate range in the pixel coordinate system.

[0055] In this embodiment, the world coordinate system is a coordinate system based on actual physical space, used to locate the real spatial position of the occluded area. The pixel coordinate system is a two-dimensional coordinate system constructed from the image, with pixels as the unit, used to map the position of the real-space occluded area in the image. An algorithm is set to perform coordinate system transformation, such as the Zhang Zhengyou camera calibration algorithm.

[0056] Specifically, the processor can obtain the unilateral horizontal distance corresponding to the interaural arc distance by dividing the interaural arc distance by 2. Using trigonometric formulas combined with the unilateral horizontal distance and the wearing tilt angle, it determines the vertical distance from the earphone to the front edge of the cheek (such as the nose). This vertical and horizontal distance constitutes the facial occlusion distance feature, directly related to the distance of the occluded area in real space, and forms the basis for subsequent positioning of the occlusion range. The processor can establish a world coordinate system with one side of the wearable device as the origin, the tangent to the head surface as the X-axis, and the direction perpendicular to the head surface as the Y-axis. The processor can combine the determined vertical distance (Y-axis distance), horizontal distance (X-axis distance), wearing tilt angle (the tilt direction of the occluded area), and preset camera field of view (determining the spatial angle that the camera can cover) to determine the spatial boundary of the occluded area through geometric calculations, forming an occlusion coordinate range enclosed by multiple spatial coordinate points in the world coordinate system, accurately locking the real spatial location of the occluded area. The processor can employ a predefined coordinate transformation algorithm (such as Zhang Zhengyou's camera calibration algorithm). This algorithm requires prior calibration of the headphone camera to obtain the camera's intrinsic parameters (such as focal length and pixel size) and extrinsic parameters (such as the positional relationship between the camera and the world coordinate system). Each spatial point within the occlusion coordinate range in the world coordinate system is mapped to the pixel coordinate system through calculations using the intrinsic and extrinsic parameters to obtain the corresponding pixel coordinates. Finally, these pixel coordinates are connected to form a closed interval, which is the overlapping pixel coordinate range. This completes the accurate mapping from the real-world occlusion area to the image pixel area, providing a clear basis for subsequent filtering of occluded pixels and reducing computational load.

[0057] For example, a specific example can be used as a demonstration. Figure 2 A flowchart illustrating the structural principle of an image determination method provided in Embodiment 1 of the present invention is shown below. Figure 2 As shown, taking earphones as an example of wearable devices, D1 represents the left earphone, D2 represents the right earphone, and the straight line represents the camera's field of view. First, measure the straight-line distance between D1 and D2 using the graduated wire on the earphone, which is the interauricular arc distance. Divide it by 2 to get BD1 (the horizontal distance on one side corresponding to the interauricular arc distance). Then, read the wearing tilt angle (angle 1 / angle 2) using the angle measurement sub-component's angle scale. Finally, substitute it into the trigonometric function formula "A=BD1×sin(angle 1)" to calculate the vertical distance A from the earphone to the edge of the cheek. This distance A and the horizontal distance BD1 on one side are the facial occlusion distance features. Using A as the Y-axis coordinate, the range of the occlusion area in the X-axis direction is determined based on the difference between the field of view angle and the wearing tilt angle (Q1=FOV-ANGLE1) (i.e., the two intersecting lines in the figure). Taking D1 on the left as the origin (0,0), the coordinates of D2 can be determined as (2BD1cos(angle1),0) and the coordinates of B as (BD1cos(angle1),BD1sin(angle1)). The area formed by the intersection of the two straight lines D1B and D2B is the occlusion area. Finally, the occlusion coordinate range enclosed by multiple spatial coordinate points in the world coordinate system is formed, accurately locking the true spatial position of the occlusion area.

[0058] By using the length parameter of the interauricular arc distance and the angle parameter of the wearing tilt, the coordinates of all vertices of the intersection area can be directly solved through trigonometric function analysis, thereby determining the pixel coordinate range of the intersection area. Without traversing the entire image, the occlusion position can be accurately located, and the range of the intersection area can be quantitatively determined.

[0059] Example 2

[0060] Figure 3 This is a schematic diagram of an image determination device provided in Embodiment 2 of the present invention. Figure 3 As shown, the device includes:

[0061] The information acquisition module 31 is used to acquire the interauricular distance and wearing tilt angle of the target wearing the wearable device, as well as two images and the camera field of view captured by the two camera modules of the wearable device. The interauricular distance and the wearing tilt angle are acquired by the measurement component in the wearable device. The two camera modules are located on the left and right ears of the target, respectively.

[0062] The overlap determination module 32 is used to determine the overlap pixel coordinate range of the wearable device based on the interauricular arc distance, the wearing tilt angle and the camera field of view.

[0063] The image filtering module 33 is used to fuse the overlapping parts of the two images based on the overlapping pixel coordinate range to obtain the captured image.

[0064] The technical solution of this invention involves acquiring the interauricular distance and wearing tilt angle of the target wearing a wearable device, as well as two images captured by two camera modules of the wearable device and the camera's field of view. The interauricular distance and wearing tilt angle are acquired through a measurement component in the wearable device. The two camera modules are located at the left and right ears of the target, respectively. Based on the interauricular distance, wearing tilt angle, and camera field of view, the overlapping pixel coordinate range of the wearable device is determined. Based on the overlapping pixel coordinate range, the overlapping portions of the two images are fused to obtain the captured image. By measuring the interauricular distance and wearing tilt angle of the target and determining the overlapping pixel coordinate range of the occluded area, accurate adaptation of the occluded area coordinates to different face shapes can be achieved. Targeted filtering is performed based on the accurate coordinate range, reducing the computational load of subsequent image processing algorithms and thus improving the efficiency and quality of the synthesized image.

[0065] Furthermore, the measuring component includes a winding thread with length markings, through which the interauricular distance between the target ears is determined.

[0066] Furthermore, the measuring component includes an angle measuring sub-component with an angle scale, through which the wearing tilt angle of the target is determined.

[0067] Furthermore, the overlap determination module 32 is specifically used for:

[0068] The facial occlusion distance characteristics of the target are determined based on the interauricular arc distance, the wearing tilt angle, and the camera field of view.

[0069] Based on the facial occlusion distance characteristics and the camera field of view, determine the occlusion coordinate range in the world coordinate system;

[0070] Based on the set algorithm, the occlusion coordinate range is converted into the overlapping pixel coordinate range in the pixel coordinate system.

[0071] The image determination device provided in the embodiments of the present invention can execute the image determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0072] Example 3

[0073] Figure 4 This is a schematic diagram of the structure of a wearable device provided in Embodiment 3 of the present invention. Figure 4As shown, the device includes: a left main body 41, a right main body, and a main control unit 42. Taking the left main body 41 as an example, both the left main body 41 and the right main body include a camera module 411 and a measurement component 412. The main control unit 42 is disposed in the left main body 41 and / or the right main body. The left main body is worn on the left ear of the target, and the right main body is worn on the right ear of the target.

[0074] The camera module 411 is used to capture images;

[0075] The measuring component 412 is used to measure the interauricular arc distance and wearing angle of the target;

[0076] The main control unit 42 is used to transmit the captured image to the associated device.

[0077] The technical solution of this invention integrates the measurement component with the wearable device, eliminating the need for external measurement equipment. Parameter acquisition and image capture can be completed simultaneously by wearing the wearable device, balancing the measurement function with the portability requirements of the wearable device. It is easy to operate and has no additional usage barriers.

[0078] Furthermore, the structure of a wearable device can be demonstrated with a specific example. Figure 5 This is another structural schematic diagram of a wearable device provided in Embodiment 3 of the present invention. Figure 5 As shown, the measuring component 412 includes a winding with length markings and an angle measuring sub-component with angle markings; the winding is used to determine the interauricular arc distance between the target's two ears; the angle measuring sub-component is used to determine the wearing tilt angle of the target.

[0079] The cable is integrated within the wearable device, featuring a retractable, wound structure. A hook at the tip of the cable allows the two sides to interlock for measuring the interauricular distance, resulting in a more streamlined design. The wearing angle can be measured using a fan-shaped angle measuring component with an angle scale, and the angle can be read using the cable as a pointer.

[0080] The technical solution of this invention integrates the measurement component with a wearable device, eliminating the need for external measuring equipment. Parameter acquisition and image capture can be completed simultaneously simply by wearing the wearable device, balancing measurement functionality with the portability requirements of the wearable device. Operation is simple and requires no additional learning curve. Furthermore, the length measurement is done via a coil, which can be stored inside the earphone shell when not in use, without affecting the earphone's fit or appearance. It can be flexibly unfolded to accommodate different head shapes (differences in interauricular distance), ensuring accurate distance measurement. The angle measurement sub-component, in the form of a fan-shaped scale, is integrated inside the earphone's fan-shaped shell, occupying no extra space and not affecting wearing comfort. The measured values ​​can be used as a basis for determining the subsequent overlapping pixel coordinate range.

[0081] Example 4

[0082] Figure 6 A schematic diagram of an electronic device 50 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0083] like Figure 6 As shown, the electronic device 50 includes at least one processor 51 and a memory, such as a read-only memory (ROM) 52 or a random access memory (RAM) 53, communicatively connected to the at least one processor 51. The memory stores computer programs executable by the at least one processor. The processor 51 can perform various appropriate actions and processes based on the computer program stored in the ROM 52 or loaded from storage unit 58 into the RAM 53. The RAM 53 can also store various programs and data required for the operation of the electronic device 50. The processor 51, ROM 52, and RAM 53 are interconnected via a bus 54. An input / output (I / O) interface 55 is also connected to the bus 54.

[0084] Multiple components in electronic device 50 are connected to I / O interface 55, including: input unit 56, such as keyboard, mouse, etc.; output unit 57, such as various types of monitors, speakers, etc.; storage unit 58, such as disk, optical disk, etc.; and communication unit 59, such as network card, modem, wireless transceiver, etc. Communication unit 59 allows electronic device 50 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0085] Processor 51 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 51 performs the various methods and processes described above, such as image determination methods.

[0086] In some embodiments, the image determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 58. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 50 via ROM 52 and / or communication unit 59. When the computer program is loaded into RAM 53 and executed by processor 51, one or more steps of the image determination method described above may be performed. Alternatively, in other embodiments, processor 51 may be configured to perform the image determination method by any other suitable means (e.g., by means of firmware).

[0087] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0088] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0089] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0090] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0091] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0092] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0093] In one embodiment, the present invention further includes a computer program product, which includes a computer program that, when executed by a processor, implements the image determination method of any embodiment of the present invention.

[0094] In implementing the computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0095] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0096] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. An image determination method, characterized in that, include: The interauricular distance and wearing tilt angle of the target wearing the wearable device are obtained, as well as two images and the camera field of view captured by the two camera modules of the wearable device. The interauricular distance and the wearing tilt angle are obtained by the measurement components in the wearable device. The two camera modules are located on the left and right ears of the target, respectively. The overlapping pixel coordinate range of the wearable device is determined based on the interauricular arc distance, the wearing tilt angle, and the camera field of view. Based on the overlapping pixel coordinate range, the overlapping portions of the two images are fused to obtain the captured image.

2. The method according to claim 1, characterized in that, The measuring component includes a winding thread with length markings, through which the interauricular distance between the target ears is determined.

3. The method according to claim 1, characterized in that, The measurement component includes an angle measurement sub-component with an angle scale, which determines the wearing tilt angle of the target.

4. The method according to claim 1, characterized in that, Determining the range of overlapping pixel coordinates of the wearable device based on the interauricular arc distance, the wearing tilt angle, and the camera field of view includes: The facial occlusion distance characteristics of the target are determined based on the interauricular arc distance, the wearing tilt angle, and the camera field of view. Based on the facial occlusion distance characteristics and the camera field of view, determine the occlusion coordinate range in the world coordinate system; Based on the set algorithm, the occlusion coordinate range is converted into the overlapping pixel coordinate range in the pixel coordinate system.

5. An image determining device, characterized in that, include: The information acquisition module is used to acquire the interauricular distance and wearing tilt angle of the target wearing the wearable device, as well as two images and the camera field of view captured by the two camera modules of the wearable device. The interauricular distance and the wearing tilt angle are acquired by the measurement component in the wearable device. The two camera modules are located on the left and right ears of the target, respectively. The overlap determination module is used to determine the overlap pixel coordinate range of the wearable device based on the interauricular arc distance, the wearing tilt angle, and the camera field of view. The image filtering module is used to fuse the overlapping portions of the two images based on the overlapping pixel coordinate range to obtain the captured image.

6. A wearable device, characterized in that, The wearable device includes a left main body, a right main body, and a main control unit. Both the left main body and the right main body include a camera module and a measurement component. The main control unit is disposed in the left main body and / or the right main body. The left main body is worn on the left ear of the target, and the right main body is worn on the right ear of the target. The camera module is used to capture images; The measuring component is used to measure the interauricular distance and wearing angle of the target; The main control unit is used to transmit the captured image to the associated device.

7. The device according to claim 6, characterized in that, The measuring component includes a winding with a length scale and an angle measuring sub-component with an angle scale; The winding thread is used to determine the interauricular arc distance between the target ears; The angle measurement sub-component is used to determine the wearing tilt angle of the target.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the image determination method according to any one of claims 1-4.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the image determination method according to any one of claims 1-4.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the image determination method according to any one of claims 1-4.

Images