Virtual digital human image generation system

Abstract

The invention relates to the technical field of electric power service, in particular to a virtual digital human image generation system which comprises an image generation subsystem and a configuration subsystem. And the image generation subsystem is used for generating a virtual digital human image and comprises a data acquisition module, a feature extraction module, a human modeling module, a texture mapping module, a motion capture and drive module, a speech synthesis module and an optimization and rendering module which are connected in sequence. And the configuration subsystem is used for configuring the virtual digital human image. According to the invention, the virtual digital figure is generated and configured according to the feature extraction of the real figure when the virtual digital figure is generated, the digital figure is ensured to highly accord with the real figure, the sense of reality of the interaction experience is improved, the virtual digital figure is configured through the configuration subsystem, and the interaction experience is improved. According to the invention, preferences of different clients are met, personalized services are deeply provided, the service experience of the clients is improved, the clients can manually or automatically configure, and the use experience of the clients is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power services, and in particular to a virtual digital human image generation system. Background Art

[0002] With the continuous development of social economy and the improvement of people's living standards, the demand for electricity continues to grow. Power companies not only need to provide stable and reliable power supply, but also need to continuously improve service quality and efficiency to meet the increasingly diverse needs of users. In order to better provide services to customers, more and more self-service terminals are being used in offline or upward corporate service scenarios.

[0003] With the continuous development of computer technology and artificial intelligence, virtual digital people are increasingly used in many fields. However, in the power business scenario, the virtual human image is displayed on the monitor, and the appearance and interactive sound are fixed, with single functionality, which cannot meet the preferences and needs of different customers, thus reducing the service quality.

[0004] Therefore, there is a need for a virtual digital human image generation system that can generate different types of realistic virtual digital human images to meet customer needs. Summary of the invention

[0005] In view of the problems in the prior art, the present invention provides a virtual digital human image generation system, and the specific technical solution is as follows: A virtual digital human image generation system, comprising an image generation subsystem and a configuration subsystem; The image generation subsystem is used to generate a virtual digital human image, including a data acquisition module, a feature extraction module, a character modeling module, a texture mapping module, a motion capture and driving module, a speech synthesis module, and an optimization and rendering module connected in sequence; The data acquisition module is used to collect image, video and voice data of real people; The feature extraction module is used to extract features from the collected image and video data; The character modeling module is used to construct a three-dimensional model of a virtual digital human according to the extracted features; The texture mapping module is used to map the collected image data onto the three-dimensional model of the virtual digital human; The motion capture and driving module is used to collect the motion data of the real person and apply the motion data to the virtual digital person; The speech synthesis module is used to add the collected speech data to the virtual digital human; The optimization and rendering module is used to optimize and render the generated virtual digital human image; The configuration subsystem is used to configure the virtual digital human image.

[0006] Preferably, the configuration subsystem includes an input module, a data receiving module, a central processing module, an intelligent configuration module, and an output module connected in sequence; and also includes a database module and a manual configuration module; the database module is connected to the central processing module and the optimization and rendering module respectively; the manual configuration module is connected to the central processing module and the output module respectively; The database module is used to store virtual digital human images and parameter data thereof; The input module is used to input the configuration instructions of the customer; The data receiving module is used to receive configuration instructions issued by the client; The central processing module is used to identify and process the configuration instructions issued by the customer; The intelligent configuration module is used to intelligently configure the virtual digital human image according to the customer's daily habits, language and historical conversation records; The manual configuration module is used by the customer to manually configure the virtual digital human image; The output module is used to output the configured virtual digital human image.

[0007] Preferably, the data acquisition module further includes a character mirror unit, a result screening unit, and a pre-processing unit; The character mirror unit is used to upload character videos and preliminarily select digital image candidates; The result screening unit is used to determine the digital image person according to the quality of the person video; The preprocessing unit is used to preprocess the task video of the digital image person and extract key action and expression segments.

[0008] Preferably, the character modeling module includes a 2D modeling submodule and a 3D modeling submodule; The 2D modeling submodule includes a photo collection unit, a photo preprocessing unit, and a feature analysis and fusion unit; The photo collection unit is used to collect multiple photos of the same person with different angles and expressions; The photo preprocessing unit is used to preprocess the collected photos; The feature analysis and fusion unit is used to analyze and fuse the features of the person in the photo, extract the common features, and add detailed information according to the photos of different angles and expressions to generate a 2D digital human model; The 3D modeling submodule includes a basic modeling unit, a skeleton binding unit, and a skin weight adjustment unit; The basic modeling unit is used to perform 3D modeling based on the 2D digital human model to obtain a 3D digital human model; The skeleton binding unit is used to add a skeleton system to the 3D digital human model; The skin weight adjustment unit is used to adjust the skin weight of the 3D digital human model after skeleton binding.

[0009] Preferably, the photo preprocessing unit preprocesses the collected photos including cropping, resizing, and uniform color correction.

[0010] Preferably, the texture mapping module maps the collected image data onto the three-dimensional model of the virtual digital human through Zbrush software.

[0011] Preferably, the motion capture and driving module comprises a motion capture suit, a calibration and initialization unit, a motion capture unit, a data processing and mapping unit, and an adjustment and optimization unit; The motion capture suit has reflective marking points and is worn on a real person; The calibration and initialization unit is used for system calibration and initialization of the actions of real people; The motion capture unit is used to capture the motion trajectory of the reflective marking points on the real person; The data processing and mapping unit is used to process and analyze the captured reflective marker point data, remove noise and erroneous data, and then map the processed data to the skeleton of the virtual digital human model so that the virtual digital human can perform the same actions as the real person; The adjustment and optimization unit is used to adjust and optimize the mapped actions.

[0012] Preferably, the intelligent configuration module includes a data acquisition unit, a data analysis unit, an intelligent matching unit and an intelligent rotation unit; The data acquisition unit is used to acquire the customer's data information; The data analysis unit is used to analyze the acquired customer data information to understand the customer's preferences; The intelligent matching unit is used to match the virtual human image according to the customer's preferences; The intelligent rotation unit is used for rotating the virtual human image.

[0013] Preferably, the manual configuration module includes an image configuration unit, a voice configuration unit, a clothing configuration unit, a hairstyle configuration unit, a makeup configuration unit, and a skin color configuration unit; The image configuration unit is used to configure the image of the virtual digital human; The sound configuration unit is used to configure the sound of the virtual digital person; The clothing configuration unit is used to configure the clothing of the virtual digital person; The hairstyle configuration unit is used to configure the hairstyle of the virtual digital person; The makeup configuration unit is used to configure the makeup and accessories of the virtual digital person; The skin color configuration unit is used to configure the skin color of the virtual digital person.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention generates and configures a virtual digital image person. When generating the virtual digital image person, the virtual digital image person is generated based on feature extraction of a real person, and ensures that the digital image is highly consistent with the real person, thereby enhancing the realism of the interactive experience. The virtual digital image person can be configured through a configuration subsystem to meet the preferences of different customers, deepen personalized services, and improve customer service experience. Customers can configure manually or the system can automatically configure, further improving the customer experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0016] Figure 1 It is a system principle diagram of the present invention.

[0017] Figure 2 This is the schematic diagram of the data acquisition module.

[0018] Figure 3 Schematic diagram of the module for modeling a character.

[0019] Figure 4 This is the schematic diagram of the motion capture and drive module.

[0020] Figure 5 This is the schematic diagram of the smart configuration module.

[0021] Figure 6 This is a schematic diagram for manually configuring the module. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0024] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0025] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0026] like Figure 1 As shown, this embodiment provides a virtual digital human image generation system, including an image generation subsystem and a configuration subsystem; the image generation subsystem is used to generate a virtual digital human image, including a data acquisition module, a feature extraction module, a character modeling module, a texture mapping module, a motion capture and driving module, a speech synthesis module, and an optimization and rendering module connected in sequence; the data acquisition module is used to collect image and video data and speech data of real people; the feature extraction module is used to extract features from the collected image and video data; the character modeling module is used to build a three-dimensional model of a virtual digital human according to the extracted features; the texture mapping module is used to map the collected image data to the three-dimensional model of the virtual digital human; the motion capture and driving module is used to collect the action data of the real person and apply the action data to the virtual digital human; the speech synthesis module is used to add the collected speech data to the virtual digital human; the optimization and rendering module is used to optimize and render the generated virtual digital human image. The configuration subsystem is used to configure the virtual digital human image.

[0027] The configuration subsystem includes an input module, a data receiving module, a central processing module, an intelligent configuration module, and an output module connected in sequence; it also includes a database module and a manual configuration module; the database module is connected to the central processing module and the optimization and rendering module respectively; the manual configuration module is connected to the central processing module and the output module respectively. The database module is used to store the virtual digital human image and its parameter data; the input module is used to input the configuration instructions of the customer; the data receiving module is used to receive the configuration instructions issued by the customer; the central processing module is used to identify and process the configuration instructions issued by the customer; the intelligent configuration module is used to intelligently configure the virtual digital human image according to the customer's daily habits, language and historical conversation records; the manual configuration module is used for the customer to manually configure the virtual digital human image; the output module is used to output the configured virtual digital human image.

[0028] Data collection includes facial expressions, body movements, etc. At the same time, sound data can also be collected to add voice to the virtual digital human. Figure 2 As shown, the data acquisition module also includes a character viewing unit, a result screening unit, and a preprocessing unit; the character viewing unit is used to upload character videos and preliminarily select digital image candidates. For each actor, a video clip of the character is shot using a camera or mobile phone or other equipment. The video content should include the character's full-body movements, facial expression changes, and displays from different angles, so as to obtain sufficient information to generate a virtual digital human model. The result screening unit is used to determine the digital image person based on the quality of the character video. The digital image person is determined based on the performance of each actor after the viewing, combined with the power business scenario. The preprocessing unit is used to preprocess the task video of the digital image person and extract key action and expression clips. The collected video can be preprocessed, including editing, denoising, stabilization and other operations, to extract key action and expression clips and improve the quality and usability of the video.

[0029] The feature extraction module mainly uses artificial intelligence algorithms to extract features from the collected image and video data. Feature extraction includes facial features, body features, motion features, etc. These features will be used to construct a virtual digital human image.

[0030] The character modeling module uses the modeling software to build a three-dimensional model of the virtual digital human based on the extracted features. During the modeling process, the appearance features of real people can be referenced to make the virtual digital human more realistic. Figure 3As shown, the character modeling module includes a 2D modeling submodule and a 3D modeling submodule; the 2D modeling submodule includes a photo collection unit, a photo preprocessing unit, and a feature analysis and fusion unit. The photo collection unit is used to collect multiple photos of the same person from different angles and expressions. The photos should cover different perspectives such as the front, side, and half-side, as well as different expressions such as smile, frown, and surprise, so as to more comprehensively capture the characteristics of the person. The photo preprocessing unit is used to preprocess the collected photos. The preprocessing includes cropping, resizing, and unified color correction, so that the photos have consistent quality and format for subsequent processing.

[0031] The feature analysis and fusion unit is used to analyze and fuse the features of the characters in the photos, extract common features, and supplement detailed information based on photos of different angles and expressions to generate a 2D digital human model that reflects the characteristics of the characters more comprehensively and accurately.

[0032] The 3D modeling submodule includes a basic modeling unit, a bone binding unit, and a skin weight adjustment unit. The basic modeling unit is used to perform 3D modeling based on a 2D digital human model to obtain a 3D digital human model. Specifically, professional 3D modeling software such as 3ds Max, Maya, ZBrush, Blender, etc. are used to create models of the body, limbs, head and other parts of the virtual digital human from basic shapes. The general shape framework can be gradually constructed through polygonal modeling, NURBS modeling and other technical means.

[0033] The bone binding unit is used to add a bone system to the 3D digital human model. The various parts of the model are associated with the bones through the bone binding tool, so that natural movement and deformation can be achieved during subsequent animation production.

[0034] The skin weight adjustment unit is used to adjust the skin weight of the 3D digital human model after bone binding, to ensure that the deformation effect of the model under different actions conforms to the laws of human movement and avoid unreasonable stretching or distortion.

[0035] The texture mapping module uses the carving function of Zbrush software to carve details on the model, adding details such as skin texture, muscle lines, and clothing folds to make the virtual digital human more realistic. You can also use texture mapping technology to paste the drawn texture image onto the model surface to further enhance the detail effect.

[0036] The motion capture and drive module uses motion capture equipment to collect the motion data of real people and applies it to the virtual digital human, so that the virtual digital human can make the same movements as the real person. Motion capture and drive can realize the expression, limb bones, hand bones drive of the image by collecting the movements of real people; different emotions such as anger, rage, and happiness; clapping, hugging, emphasizing, and clenching fists. Figure 4 As shown, the motion capture and driving module specifically includes a motion capture suit, a calibration and initialization unit, a motion capture unit, a data processing and mapping unit, and an adjustment and optimization unit. The motion capture suit has reflective markers and is worn on a real person. The real person wears a special motion capture suit with reflective markers and attaches additional reflective markers to key parts of the body, such as joints and fingers, so as to more accurately capture the details of the action. The calibration and initialization unit is used to calibrate the system and initialize the actions of the real person. Specifically, by asking the actor to make a specific action gesture, the system can identify and record the initial position and correspondence of each marker, and establish an accurate coordinate system. The motion capture unit is used to capture the motion trajectory of the reflective markers on the real person. The real person performs according to a predetermined action script or freely. The high-speed camera synchronously captures the motion trajectory of the reflective markers on the actor and transmits the data to the computer system in real time. The data processing and mapping unit is used to process and analyze the captured reflective marker data, remove noise and erroneous data, and then map the processed data to the skeleton of the virtual digital human model, so that the virtual digital human can make the same action as the real person. The adjustment and optimization unit is used to adjust and optimize the mapped movements, check whether there are problems such as unnatural movements and twisted joints, and perform manual corrections and adjustments as needed to ensure that the movements of the virtual digital human are smoother and more realistic.

[0037] The speech synthesis module uses speech synthesis technology to add voice to the virtual digital human. It can adjust the voice parameters such as timbre, intonation, language, etc. as needed to make the virtual digital human's voice more natural.

[0038] The optimization and rendering module optimizes and renders the generated virtual digital human image to improve its realism and visual effects. Ray tracing, shadow mapping and other technologies can be used to add realistic lighting effects to the virtual digital human.

[0039] like Figure 5 As shown, the intelligent configuration module includes a data acquisition unit, a data analysis unit, an intelligent matching unit and an intelligent rotation unit; The data acquisition unit is used to acquire data information of customers, including data such as customers' daily usage habits and spoken languages; The data analysis unit is used to analyze the acquired customer data information and understand the customer's preferences; The intelligent matching unit is used to match the virtual human image according to the customer's preferences, and can match multiple suitable virtual human images for the customer; The intelligent rotation unit is used for rotating the virtual human images. According to the matched multiple suitable virtual human images, they are rotated and used in different periods to improve the freshness.

[0040] Specifically, Figure 6 As shown, the manual configuration module includes an image configuration unit, a voice configuration unit, a clothing configuration unit, a hairstyle configuration unit, a makeup configuration unit, and a skin color configuration unit.

[0041] The image configuration unit is used to configure the image of the virtual digital human. According to the needs of different customers, different images with different appearances can be selected, and the image can be switched between cartoon and real person. The sound configuration unit is used to configure the voice of the virtual digital person, including voice color, language, dialect, low, medium and high pitch, etc. The clothing configuration unit is used to configure the clothing of the virtual digital person, including clothing types, national costumes and other styles; The hairstyle configuration unit is used to configure the hairstyle of the virtual digital person, including adjusting the length, curl, color, etc. of the hairstyle, so as to achieve matching between various styles; The makeup configuration unit is used to configure the makeup and accessories of the virtual digital person. According to the role setting and application scenario of the virtual digital person, appropriate decorations and accessories are added to it, such as earrings, necklaces, glasses, hats, etc., to enrich the personality and characteristics of the image; The skin color configuration unit is used to configure the skin color of the virtual digital person, and a variety of different colors are set to improve richness.

[0042] The sound hive can also: Adjust channel balance: adjust the volume of different channels (such as left channel, right channel, center channel, surround channel, etc.). For example, when playing a dialogue, if the sound of the rear surround channel is too soft, resulting in unclear ambient sound effects at the rear, the sound configuration unit can be used to increase the volume of the rear channel, allowing customers to better immerse themselves in the created spatial sound effects, as if they were personally there, surrounded by sound.

[0043] Set the audio mode: like "loud mode", "music mode", "voice mode", etc.

[0044] Adjust the audio equalizer (EQ): This can change the frequency response of the sound.

[0045] The clothing configuration unit can also be used to layout the display of virtual human clothing, and recommend suitable clothing combinations based on factors such as the virtual human's figure, skin color, and personal style.

[0046] The hairstyle configuration unit can select a suitable hairstyle style for the avatar based on factors such as the avatar's face shape, hair quality, hair volume, skin color, age, and personal preferences. For example, for an avatar with a round face, medium-length hair with layers, such as clavicle hair, is recommended to modify the facial contour through the layers of hair on both sides, making the face look smaller and more delicate; for an avatar with a square face, the configuration unit may choose curly hair with a soft arc, such as big wavy curls, to neutralize the hard lines of the face.

[0047] The present invention allows flexible configuration of elements such as image, voice, clothing, hairstyle, makeup accessories, etc. by configuring the subsystem, and generates personalized virtual digital human appearance, sound effects and services based on customer characteristics. Both the appearance and interactive sound are personalized modes to meet the preferences of different customers, deepen personalized services, and improve customer service experience. Customers can configure manually or the system can automatically configure, further improving the customer experience.

[0048] Those of ordinary skill in the art will appreciate that the modules of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0049] In the embodiments provided by the present invention, it should be understood that the division of modules is only a logical function division, and there may be other division methods in actual implementation, for example, multiple modules can be combined into one module, one module can be split into multiple modules, or some features can be ignored, etc.

[0050] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0051] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A virtual digital human image generation system, characterized in that: It includes image generation subsystem and configuration subsystem; The image generation subsystem is used to generate a virtual digital human image, including a data acquisition module, a feature extraction module, a character modeling module, a texture mapping module, a motion capture and driving module, a speech synthesis module, and an optimization and rendering module connected in sequence; The data acquisition module is used to collect image, video and voice data of real people; The feature extraction module is used to extract features from the collected image and video data; The character modeling module is used to construct a three-dimensional model of a virtual digital human according to the extracted features; The texture mapping module is used to map the collected image data onto the three-dimensional model of the virtual digital human; The motion capture and driving module is used to collect the motion data of the real person and apply the motion data to the virtual digital person; The speech synthesis module is used to add the collected speech data to the virtual digital human; The optimization and rendering module is used to optimize and render the generated virtual digital human image; The configuration subsystem is used to configure the virtual digital human image.

2. A virtual digital human image generation system according to claim 1, characterized in that: The configuration subsystem includes an input module, a data receiving module, a central processing module, an intelligent configuration module, and an output module connected in sequence; it also includes a database module and a manual configuration module; the database module is connected to the central processing module and the optimization and rendering module respectively; the manual configuration module is connected to the central processing module and the output module respectively; The database module is used to store virtual digital human images and parameter data thereof; The input module is used to input the configuration instructions of the customer; The data receiving module is used to receive configuration instructions issued by the client; The central processing module is used to identify and process the configuration instructions issued by the customer; The intelligent configuration module is used to intelligently configure the virtual digital human image according to the customer's daily habits, language and historical conversation records; The manual configuration module is used by the customer to manually configure the virtual digital human image; The output module is used to output the configured virtual digital human image.

3. A virtual digital human image generation system according to claim 1, characterized in that: The data acquisition module also includes a character mirror unit, a result screening unit, and a pre-processing unit; The character mirror unit is used to upload character videos and preliminarily select digital image candidates; The result screening unit is used to determine the digital image person according to the quality of the person video; The preprocessing unit is used to preprocess the task video of the digital image person and extract key action and expression segments.

4. A virtual digital human image generation system according to claim 1, characterized in that: The character modeling module includes a 2D modeling submodule and a 3D modeling submodule; The 2D modeling submodule includes a photo collection unit, a photo preprocessing unit, and a feature analysis and fusion unit; The photo collection unit is used to collect multiple photos of the same person with different angles and expressions; The photo preprocessing unit is used to preprocess the collected photos; The feature analysis and fusion unit is used to analyze and fuse the features of the person in the photo, extract the common features, and add detailed information according to the photos of different angles and expressions to generate a 2D digital human model; The 3D modeling submodule includes a basic modeling unit, a skeleton binding unit, and a skin weight adjustment unit; The basic modeling unit is used to perform 3D modeling based on the 2D digital human model to obtain a 3D digital human model; The skeleton binding unit is used to add a skeleton system to the 3D digital human model; The skin weight adjustment unit is used to adjust the skin weight of the 3D digital human model after skeleton binding.

5. A virtual digital human image generation system according to claim 1, characterized in that: The photo preprocessing unit preprocesses the collected photos including cropping, resizing, and uniform color correction.

6. A virtual digital human image generation system according to claim 1, characterized in that: The texture mapping module maps the collected image data onto the three-dimensional model of the virtual digital human through Zbrush software.

7. A virtual digital human image generation system according to claim 1, characterized in that: The motion capture and driving module includes a motion capture suit, a calibration and initialization unit, a motion capture unit, a data processing and mapping unit, and an adjustment and optimization unit; The motion capture suit has reflective marking points and is worn on a real person; The calibration and initialization unit is used for system calibration and initialization of the actions of real people; The motion capture unit is used to capture the motion trajectory of the reflective marking points on the real person; The data processing and mapping unit is used to process and analyze the captured reflective marker point data, remove noise and erroneous data, and then map the processed data to the skeleton of the virtual digital human model so that the virtual digital human can perform the same actions as the real person; The adjustment and optimization unit is used to adjust and optimize the mapped actions.

8. The virtual digital human image generation system according to claim 1, characterized in that: The intelligent configuration module includes a data acquisition unit, a data analysis unit, an intelligent matching unit and an intelligent rotation unit; The data acquisition unit is used to acquire the customer's data information; The data analysis unit is used to analyze the acquired customer data information to understand the customer's preferences; The intelligent matching unit is used to match the virtual human image according to the customer's preferences; The intelligent rotation unit is used for rotating the virtual human image.

9. The virtual digital human image generation system according to claim 1, characterized in that: The manual configuration module includes an image configuration unit, a voice configuration unit, a clothing configuration unit, a hairstyle configuration unit, a makeup configuration unit, and a skin color configuration unit; The image configuration unit is used to configure the image of the virtual digital human; The sound configuration unit is used to configure the sound of the virtual digital person; The clothing configuration unit is used to configure the clothing of the virtual digital person; The hairstyle configuration unit is used to configure the hairstyle of the virtual digital person; The makeup configuration unit is used to configure the makeup and accessories of the virtual digital person; The skin color configuration unit is used to configure the skin color of the virtual digital person.

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