Naked eye 3D real-time interaction system
Through the combination of multiple near-infrared light source modules, micro-hole cameras and eye tracking sensors, combined with the central processing module and pixel display module, the image parallax is adjusted in real time, solving the problem of inaccurate eye movement capture in naked-eye 3D technology, achieving high-precision 3D display effects, and improving user experience.
Patent Information
- Application Number
- CN202510836482.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-21
- Publication Date
- 2025-09-23
AI Technical Summary
Existing naked-eye 3D technology has difficulty accurately capturing subtle movements of the user's eyes, resulting in inaccurate 3D image display and poor user experience.
It uses a combination of multiple near-infrared light source modules, micro-hole cameras and eye tracking sensors, combined with a central processing module and a pixel display module to identify and process eye movements in real time, and adjust image parallax through a cylindrical lens structure to achieve a 3D effect.
It improves the accuracy and real-time performance of eye tracking, enhances the clarity and stability of images, and improves the user's sense of immersion and experience.
Smart Images

Figure CN120686979A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of naked-eye 3D display technology, and in particular to a naked-eye 3D real-time interactive system. Background Art
[0002] Today, with the rapid development of science and technology, people's visual experience has been unprecedentedly enhanced. The emergence and development of 3D technology has pushed visual experience to a whole new dimension, giving images depth and three-dimensionality, and is widely used in movies, games, virtual reality and other fields. Traditional 3D display technology often requires special equipment to achieve an immersive experience. As a result, naked-eye 3D technology has been developed to break free from the constraints of equipment.
[0003] Currently, the application of glasses-free 3D technology in entertainment, education, healthcare, advertising, and other fields is gradually emerging, but some technical bottlenecks and shortcomings still exist, requiring further research and innovation. These shortcomings mainly reflect the differences in appearance, shape, and size of different people's eyes. For example, the varying degrees of obstruction caused by eyelids and eyelashes make it difficult to capture the entire eyeball. Dynamic deformation during eye movement, as well as instantaneous changes in eye contour and shape, can also easily lead to inaccurate eye capture. High-precision dynamic eye capture is a key component of glasses-free 3D display technology, crucial for real-time adjustment of 3D images and enhancing the naturalness and fidelity of the image. Summary of the Invention
[0004] In order to optimize the display effect of naked-eye 3D images and enhance the sense of immersion, the present invention provides a naked-eye 3D real-time interactive system.
[0005] The naked-eye 3D real-time interactive system provided by the present invention adopts the following technical solutions: Naked-eye 3D real-time interactive system, including central processing module, pixel display module, and eye capture module; The eyeball capture module includes multiple near-infrared light source modules, multiple micro-hole cameras, and multiple eye tracking sensors. The multiple infrared sensors correspond to the multiple micro-hole cameras and are distributed on multiple sides of the naked-eye 3D display screen. The eyeball capture module recognizes the eyeball features of both eyes and captures eyeball movements in real time on multiple sides of the display screen, and transmits the captured information to the central processing module in the form of a data stream. The central processing module receives, analyzes, and processes the data stream information uploaded by the eyeball capture module in real time; the central processing module stores a processing chip and a memory chip, processes the data uploaded by the eyeball capture module in real time, generates graphic instructions based on real-time eye movements and pupil gaze points, and sends them to the pixel display module; The pixel display module includes a lens plate, which is composed of a plurality of cylindrical lens structure arrays, each cylindrical lens structure corresponding to each pixel point; the pixel display module receives the image instruction of the central processing module and changes the incident angle of the lens plate.
[0006] By adopting the above technical solutions, the central processing module, pixel display module and eye capture module form the basic architecture of the naked-eye 3D real-time interactive system. The naked-eye 3D real-time interactive system applies the naked-eye display principle, is based on different operating systems, is loaded in the naked-eye PAD, and can be applied to professional 3D image processing and display software. The central processing module is generally the CPU and GPU of the naked-eye PAD, which must have hardware configurations such as a high-performance processor and a large-capacity battery, and must use a high-resolution display screen that matches its computing power; the eye capture module maintains real-time operation. When the user looks at and operates the image on the screen, the multiple near-infrared light source modules in the eye capture module emit near-infrared light of an intensity that does not interfere with vision to illuminate the user's eyes, and generate a light reflection pattern under the reflection of the vitreous structure of the eye. The reflection pattern can map the pupil center and the reflection point on the cornea. By calculating and processing the above reflection points, the central processing module can accurately calculate the position of the gaze point; eye capture The micro-hole camera in the module uploads the pupil direction when the eye moves in real time, limiting the position calculation of the above-mentioned near-infrared light source module to the pupil direction area, further improving the accuracy of the gaze point calculation, and facilitating the subsequent light refraction adjustment of the pixel display module; the eye tracking sensor is integrated with the above-mentioned near-infrared light source module to capture the infrared light reflection image generated by the above-mentioned near-infrared light source module and obtain detailed information on eye movement; therefore, the near-infrared light source module, micro-hole camera, and eye tracking sensor in the eye capture module are used for real-time collection of eye movement information, and the central processing module generates instructions to control the pixel display module based on the information collected by the eye capture module; Based on the principles of 3D imaging, the pixel display unit is equipped with a cylindrical lens structure outside the pixel points of the display screen, corresponding to each pixel point. The structure refracts the light emitted by the pixel points in different directions, so that the left and right eyes receive different images respectively, thus producing a 3D effect. Therefore, as the eyeballs continue to change, the incident angle of the pixel light is adjusted to change the refraction position, and then the image parallax of the left and right eyes is adjusted to change the 3D vision. As a result, as the position of the user's eye gaze point changes, the displayed image is adjusted to a visual picture that adapts to the current pupil angle.
[0007] Optionally, or, the eye capture module further includes an event camera, which replaces the eye tracking sensor and the near-infrared light source module.
[0008] By adopting the above technical solution, an event camera is used to replace the integrated structure of the above-mentioned eye tracking sensor and near-infrared light source module. The eye tracking sensor and infrared light source module are used to collect the eye gaze point. The same function can be achieved through continuous high-frame shooting of the event camera; the event camera perceives the scene by capturing independent pixel-level light intensity changes and generates asynchronous event streams. For example, the event camera captures eye movements at a high frequency in a very short time, distinguishes blinking, eye movements and other subtle movements caused by light intensity changes (the capture frequency is generally 3840Hz), and then tracks the real-time angle changes of the pupil to determine the gaze point.
[0009] Optionally, it also includes an algorithm learning module; The algorithm learning module is connected to the central processing module, and has an AI reinforcement learning algorithm deployed inside it. It builds an algorithm framework, retrieves the eye collection data and calculation results inside the central processing module in real time, and learns the light adjustment range of the pixel display module based on the central processing module.
[0010] By adopting the above technical solutions, an AI deep learning algorithm was built on the local server. Adaptive algorithm frameworks, such as Three.js, Babylon.js, and A-Frame, were used to build 3D rendering and 3D scene building algorithm frameworks. By real-time calling the data stored in the local server, the generation instructions of the central processing module under similar data were learned, and the modeling and rendering of the 3D scene were optimized. The image jagged edges, ghosting, and distortion problems were reduced or even eliminated, further improving the image fidelity and three-dimensional effect. The eye-collected data in the storage chip of the central processing module is the basis of the above-mentioned AI algorithm. Since it is necessary to ensure the high quality and integrity of the data, the algorithm learning module is connected to the central processing module to directly retrieve the eye data stored in the local server or storage chip, which has the advantages of high efficiency, real-time and reduced network burden.
[0011] Optionally, an image processing module is also included; The image processing module receives the image instructions from the central processing module, and dynamically adjusts the display angle, depth, and parallax range of the 3D image in real time according to the image instructions to perform pixel calibration.
[0012] By adopting the above technical solution, the 3D image parallax on the left and right sides of the display screen is adjusted and dynamically adjusted as the user's gaze point changes, thereby obtaining a comfortable 3D effect; Binocular parallax is the fundamental principle of 3D imaging. The human brain processes and fuses two different images on either side to perceive the depth of an object. Therefore, during 3D imaging, the image processing module fine-tunes the relative size, relative position, occlusion, and line perspective of multiple 2D images in real time according to image instructions, allowing the human brain to receive dynamic changes in parallax, convey a sense of reality to the user, and further improve image fidelity.
[0013] Optionally, a human-computer interaction module is also included; The human-computer interaction module is connected to the image processing module and the micro-hole camera, and the human-computer interaction module receives the live image of the micro-hole camera in real time, recognizes gestures, voices, and facial expressions, generates corresponding control instructions, and sends them to the image interaction module; The image processing module receives instructions from the central processing module and changes the 2D image and 3D rendering effects of the display screen.
[0014] By adopting the above technical solution, the micro-hole camera can capture the real-time shooting image, intelligently identify the face in the image and capture the facial expression. The ambient light and background blur in the 3D scene can be fine-tuned in real time based on different expressions, thus enhancing the user's immersion. The human-computer interaction module provides a command channel, and users can pre-set convenient operation commands based on facial expressions, gestures, and sentences. When a preset gesture action is made or a preset voice command is spoken, the naked-eye 3D device changes to the operating state required by the user based on the command; the human-computer interaction module calls the shooting picture of the micro-hole camera in real time, and intelligently recognizes the user's gestures or voice in the picture, without the need to use traditional touch and other input devices, making the interaction process more natural and intuitive, and improving the naturalness and convenience of controlling environmental objects in an immersive environment; in the above scheme, voice commands and facial expressions are used as the main operation methods, and gestures are used as auxiliary means. For example, when the user's voice commands or expression commands are unclear, the human-computer interaction module can understand the user's intentions through the gesture recognition auxiliary center processing module, thereby improving the accuracy and reliability of the interaction.
[0015] It should be noted that the above solution is not applicable to the technical solution of using an event camera as an eye data acquisition device.
[0016] Optionally, a face recognition module is also included; The face recognition module is connected to the eyeball capture module and the central processing module, retrieves the image captured by the eyeball capture module, identifies the face outline and facial features, and stores and records them in the central processing module. The central processing module is internally provided with a face database; The face recognition module identifies the face outline, retrieves the face information from the face database, compares it, and provides personalized parameters for different facial features.
[0017] By using this technical solution, each user's facial features and facial contours are recorded. These features include eye distance, face shape, eyelash distribution, etc. The central processing module generates a different display scheme based on each user's facial parameters, ensuring that each user can view 3D content at the optimal viewing angle and resolution. For example, for users with wide eye distance, the corresponding pixel spacing between the two 2D images can be slightly increased to achieve the best 3D effect. For users with long eyelashes that easily block the eyeball, the display brightness of the pixels can be slightly increased to prevent eyelashes from blocking the pupil and retina. This significantly enhances the personalized experience. After the naked-eye 3D device is turned on, facial recognition uses a micro-hole camera or event camera to capture eye features, capture facial information and compare it with the entered data in the face database, so as to fine-tune the pixel parameters before the image software is started to adapt to the facial features of the current user.
[0018] Optionally, a performance monitoring module is also included; The performance monitoring module is connected to the central processing module and the image processing module. The performance monitoring module monitors the pixel display brightness, image contrast, image parallax width, image refresh rate, and image delay time of the image processing module and uploads them to the central processing module in real time; The central processing module adjusts the system resource allocation according to the monitoring results and makes reminders.
[0019] By adopting the above technical solutions, the performance monitoring module monitors various indicators in the system in real time, and can promptly discover and deal with potential performance problems; the performance monitoring module is equipped with numerical thresholds and alarm mechanisms for each data item. The performance monitoring module can issue an early warning when the system performance drops to a certain level, prompting users to intervene in time to reduce the occurrence of system failures; the performance monitoring module is set to monitor the usage of system resources, such as CPU, GPU, memory, etc., and allocate system resources according to the monitoring results to improve the system's operating efficiency.
[0020] Optionally, a user management module is also included; The user management module stores user information and provides user registration and login channels; the user management module is connected to the face recognition module and the human-computer interaction module, receives the comparison results of the face recognition module, the central processing module retrieves the face information of the currently logged-in user, and the user management module retrieves the operating habits of the currently logged-in user, and sends them to the human-computer interaction module in the form of a data stream, and the human-computer interaction module changes the operation interface and operation instructions.
[0021] By adopting the above technical solution, the user management module corresponds to each user setting one by one. Each user sets his or her own operation instructions according to his or her own operation habits and thinking patterns. These operation instructions are stored in the user management module. Whenever a user logs in, the central processing module automatically retrieves the current user's operation instructions and inputs them into the human-computer interaction module to realize user information management; On the basis of user information management, we can further analyze the user's usage history and preferences, and provide a user preference recommendation function based on big data.
[0022] In summary, this application includes at least one of the following beneficial technical effects: 1. The combination of multiple near-infrared light source modules, multiple micro-aperture cameras, and multiple eye-tracking sensors can identify eye features and capture eye movements from multiple sides of the display in real time, improving the accuracy and real-time performance of eye tracking. This solves the problem in existing technologies where a single or a small number of cameras and sensors have difficulty accurately capturing subtle eye movements. 2. The central processing module, which houses processing and storage chips, receives and processes data streams uploaded by the eye capture module in real time. Based on real-time eye movements and pupil gaze points, it generates graphic instructions and sends them to the pixel display module, enabling rapid response to image adjustments and enhancing user experience and immersion. 3. By changing the incident angle of the lens panel, the pixel display module can dynamically adjust the display effect of the 3D image according to the image instructions of the central processing module, ensuring image clarity and stability, and further improving the user's viewing experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 It is an operating logic block diagram of an embodiment of the present application.
[0024] Explanation of the accompanying drawings: 1. Central processing module; 2. Pixel display module; 3. Eye capture module; 31. Near-infrared light source module; 32. Eye tracking sensor; 33. Micro-hole camera; 34. Event camera; 4. Human-computer interaction module; 5. Image processing module; 6. Face recognition module; 7. Algorithm learning module; 8. Performance monitoring module; 9. User management module. DETAILED DESCRIPTION
[0025] The following is combined with Figure 1 This application is described in further detail.
[0026] The embodiment of the present application discloses a naked eye 3D real-time interactive system. Figure 1The naked-eye 3D real-time interactive system includes a central processing module 1, an eye capture module 3, a pixel display module 2, an algorithm learning module 7, a human-computer interaction module 4, an image processing module 5, a face recognition module 6, a performance monitoring module 8, and a user management module 9; among them, the main structure of the central processing module 1 is composed of a high-performance processor, which is equipped with a processing chip and a storage chip, and has the functions of calculating, processing, storing, and calling data, and generating and sending instructions. In actual applications, a high-resolution display screen and a large-capacity battery that are compatible with its computing power are also required.
[0027] Reference Figure 1 The eyeball capture module 3 includes multiple near-infrared light source modules 31, multiple micro-hole cameras 33, and multiple eye-tracking sensors 32. The multiple infrared sensors correspond to the multiple cameras one by one and are distributed on multiple sides of the naked-eye 3D display screen. The eyeball capture module 3 identifies the characteristics of the eyeballs of both eyes and captures the eyeball movements in real time on multiple sides of the display screen, and transmits the captured information to the central processing module 1 in the form of a data stream. The central processing module 1 receives the data stream information uploaded by the eyeball capture module 3 in real time, analyzes and processes it, and generates dynamic position change data of the human eye's gaze point. Alternatively, in some other embodiments, an event camera 34 can be used to replace the eye-tracking sensor 32 and the near-infrared light source module 31. By capturing independent pixel-level light intensity changes to perceive the scene, generate asynchronous event streams, distinguish subtle movements, and then track the real-time angle changes of the pupil to determine the gaze point.
[0028] The pixel display module 2 includes a display screen composed of a plurality of pixel arrays and a lens plate arranged on the display screen. The lens plate is composed of a plurality of cylindrical lens structure arrays. Each cylindrical lens structure corresponds to each pixel, changes the angle of incidence of light at each pixel, and outputs two 2D patterns with parallax.
[0029] Reference Figure 1 The image processing module 5 is connected to the GPU inside the central processing module 1, displays the picture, and receives the image instructions from the central processing module 1. It adjusts the display angle, depth, and parallax range of the 3D image in real time and dynamically according to the picture instructions, performs pixel calibration, and dynamically adjusts as the user's gaze point changes to obtain a comfortable 3D effect.
[0030] Reference Figure 1Algorithm learning module 7 is connected to central processing module 1 and communicates data with central processing module 1. Specifically, it is located within a local server, deploying an AI algorithm and establishing an algorithm framework within the local server. This module accesses eye-collected data and corresponding calculation results from central processing module 1 in real time, and learns the light adjustment range of pixel display module 2 based on central processing module 1. In this embodiment, an AI deep learning algorithm is used, and an adapted A-Frame 3D scene is used to establish the algorithm framework. By accessing data stored in the local server in real time, the algorithm learns the generation instructions of central processing module 1 under similar data, thereby optimizing the modeling and rendering of 3D scenes.
[0031] Reference Figure 1 The human-computer interaction module 4 is connected to the image processing module 5 and the micro-hole camera 33, providing a command channel for convenient user operation. It receives the live image from the micro-hole camera 33 in real time, recognizes gestures, voice, and facial expressions, generates corresponding control commands, and sends them to the image interaction module. The user can pre-set convenient operation commands based on facial expressions, gestures, and sentences. When a preset gesture action is made or a preset voice command is spoken, the naked-eye 3D device changes to the user's desired operating state based on the command. In this embodiment, voice commands and facial expressions are used as the primary operation methods, and gestures are used as auxiliary means. When the user's voice commands or facial expressions are unclear, the human-computer interaction module 4 can assist the central processing module 1 in understanding the user's intention through gesture recognition, thereby improving the accuracy and reliability of the interaction.
[0032] Reference Figure 1 The facial recognition module 6 connects to the eye capture module 3 and the central processing module 1, retrieves the image captured by the eye capture module 3, identifies the facial contour and facial features, and stores and records them in the central processing module 1. The storage chip within the central processing module 1 is partitioned to correspond to the facial information, and a facial database is set up to store facial data. After the naked-eye 3D device is powered on, the facial recognition system uses the micro-hole camera 33 or event camera 34 to capture eye features. The captured facial information is then compared with the recorded data in the facial database. This allows the system to fine-tune pixel parameters to adapt to the current user's facial features before the imaging software is launched.
[0033] Reference Figure 1 The user management module 9 is connected to the face recognition module 6, stores user information and preset operation instructions, and provides user registration and login channels; the user management module 9 is connected to the face recognition module 6 and the human-computer interaction module 4, receives the comparison results of the face recognition module 6, the central processing module 1 retrieves the face information of the currently logged-in user, and the user management module 9 retrieves the operation habits of the currently logged-in user, and sends them to the human-computer interaction module 4 in the form of a data stream, and the human-computer interaction module 4 changes the operation interface and operation instructions.
[0034] Reference Figure 1The performance monitoring module 8 is connected to the central processing module 1 and the image processing module 5. The performance monitoring module 8 monitors the pixel display brightness, image contrast, image parallax width, image refresh rate, and image delay time of the image processing module 5, and uploads them to the central processing module 1 in real time; the central processing module 1 adjusts the system resource allocation according to the monitoring results to improve the system's operating efficiency.
[0035] The implementation principle of the naked-eye 3D real-time interactive system of the embodiment of the present application is as follows: when the user gazes at and operates the image on the screen, the multiple near-infrared light source modules 31 in the eye capture module 3 emit near-infrared light of an intensity that does not interfere with vision to illuminate the user's eyes, and generate a light reflection pattern under the reflection of the vitreous structure of the eyeball. The reflection pattern can map the pupil center and the reflection point on the cornea. By calculating and processing the above reflection points, the central processing module 1 can accurately calculate the position of the gaze point; the micro-hole camera 33 in the eye capture module 3 uploads the pupil direction when the eyeball moves in real time, and limits the position calculation of the above near-infrared light source module 31 to the pupil direction area, further improving the accuracy of the gaze point calculation, which is helpful for the subsequent light refraction adjustment of the pixel display module 2; the eye tracking sensor 32 is integrated with the above near-infrared light source module 31 to capture the light generated by the above near-infrared light source module 31 Infrared light reflection image is used to obtain detailed information of eye movement; therefore, the near-infrared light source module 31, micro-hole camera 33, and eye tracking sensor 32 in the eye capture module 3 are used for real-time collection of eye movement information, and the central processing module 1 generates instructions to control the pixel display module 2 based on the information collected by the eye capture module 3; alternatively, an event camera 34 is used to replace the above-mentioned integrated structure of the eye tracking sensor 32 and the near-infrared light source module 31, and the eye tracking sensor 32 and the infrared light source module are used to collect the eye gaze point. The same function can be achieved by continuous high-frame shooting of the event camera 34; the event camera 34 perceives the scene by capturing independent pixel-level light intensity changes and generates asynchronous event streams. For example, the event camera 34 captures eye movements at high frequency in a very short time, distinguishes blinking, eye movements and other subtle movements caused by light intensity changes, and then tracks the real-time angle changes of the pupil to determine the gaze point.
[0036] Based on the principles of 3D imaging, the pixel display unit is equipped with a cylindrical lens structure outside the pixel points of the display screen, corresponding to each pixel point. The structure refracts the light emitted by the pixel points in different directions, so that the left and right eyes receive different images respectively, thus producing a 3D effect. Therefore, as the eyeballs continue to change, the incident angle of the pixel light is adjusted to change the refraction position, and then the image parallax of the left and right eyes is adjusted to change the 3D vision. As a result, as the position of the user's eye gaze point changes, the displayed image is adjusted to a visual picture that adapts to the current pupil angle.
[0037] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.
Claims
1. Naked-eye 3D real-time interactive system, characterized by: It includes a central processing module (1), a pixel display module (2), and an eyeball capture module (3); The eyeball capture module (3) includes a plurality of near-infrared light source modules (31), a plurality of micro-hole cameras (33), and a plurality of eye tracking sensors (32), wherein the plurality of infrared sensors correspond to the plurality of micro-hole cameras (33) one by one and are distributed on multiple sides of the edge of the naked-eye 3D display screen; the eyeball capture module (3) respectively recognizes the eyeball features of both eyes and captures the eyeball movements in real time on multiple sides of the display screen, and transmits the captured information in the form of a data stream to the central processing module (1); The central processing module (1) receives, analyzes, and processes the data stream information uploaded by the eyeball capture module (3) in real time; the central processing module (1) stores a processing chip and a storage chip inside, processes the data uploaded by the eyeball capture module (3) in real time, generates graphic instructions based on real-time eyeball movements and pupil gaze points, and sends them to the pixel display module (2); The pixel display module (2) comprises a lens plate, which is composed of a plurality of cylindrical lens structure arrays, each cylindrical lens structure corresponding to each pixel point; the pixel display module (2) receives image instructions from the central processing module (1) and changes the incident angle of the lens plate.
2. The naked-eye 3D real-time interactive system according to claim 1, characterized in that: Alternatively, the eyeball capture module (3) further includes an event camera (34), and the event camera (34) replaces the eye tracking sensor (32) and the near-infrared light source module (31).
3. The naked-eye 3D real-time interactive system according to claim 1, characterized in that: It also includes an algorithm learning module (7); The algorithm learning module (7) is connected to the central processing module (1), and has an AI reinforcement learning algorithm deployed therein. An algorithm framework is constructed to retrieve the eyeball collection data and calculation results inside the central processing module (1) in real time, and learn the light adjustment range of the pixel display module (2) based on the central processing module (1).
4. The naked-eye 3D real-time interactive system according to claim 1, characterized in that: Also includes an image processing module (5); The image processing module (5) receives the image instructions from the central processing module (1), and dynamically adjusts the display angle, depth, and parallax range of the 3D image in real time according to the image instructions, and performs pixel calibration.
5. The naked-eye 3D real-time interactive system according to claim 1, characterized in that: It also includes a human-computer interaction module (4); The human-computer interaction module (4) is connected to the image processing module (5) and the micro-hole camera (33), and the human-computer interaction module (4) receives the live image of the micro-hole camera (33) in real time, recognizes gestures, voices, and facial expressions, generates corresponding control instructions, and sends them to the image interaction module; The image processing module (5) receives instructions from the central processing module (1) and changes the 2D image and 3D rendering effects of the display screen.
6. The naked-eye 3D real-time interactive system according to claim 1 or 2, characterized in that: Also includes a face recognition module (6); The face recognition module (6) is connected to the eyeball capture module (3) and the central processing module (1), retrieves the image captured by the eyeball capture module (3), recognizes the face contour and facial features, and stores and records them in the central processing module (1); a face database is set inside the central processing module (1); The face recognition module (6) recognizes the face contour, retrieves the face information from the face database, compares it, and provides personalized parameters for different face features.
7. The naked-eye 3D real-time interactive system according to claim 1, characterized in that: Also included is a performance monitoring module (8); The performance monitoring module (8) is connected to the central processing module (1) and the image processing module (5), and the performance monitoring module (8) monitors the pixel display brightness, image contrast, image parallax width, image refresh rate, and image delay time of the image processing module (5), and uploads the results to the central processing module (1) in real time; The central processing module (1) adjusts the system resource allocation according to the monitoring results and issues reminders.
8. The naked-eye 3D real-time interactive system according to claim 1, characterized in that: Also includes a user management module (9); The user management module (9) stores user information and provides user registration and login channels; the user management module (9) is connected to the face recognition module (6) and the human-computer interaction module (4), receives the comparison result of the face recognition module (6), the central processing module (1) retrieves the face information of the currently logged-in user, and the user management module (9) retrieves the operation habits of the currently logged-in user, and sends them to the human-computer interaction module (4) in the form of a data stream, and the human-computer interaction module (4) changes the operation interface and operation instructions.