Method, system and storage medium for displaying virtual images based on virtual-real combination technology
By combining virtual and real technologies and using predictive models to generate and render 3D relighting images of the human body, the problem of reconstructing realistic human body models in existing technologies has been solved, and more accurate 3D reconstruction results have been achieved.
CN116091683BActive Publication Date: 2026-01-16BEIJING QILE INFINITE CULTURE TECH CO LTD
Patent Information
- Application Number
- CN202211733031.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-30
- Publication Date
- 2026-01-16
- Estimated Expiration
- 2042-12-30
AI Technical Summary
Technical Problem
Existing technologies are insufficient to effectively reconstruct realistic 3D human body models and cannot accurately reproduce human body information in the real world.
Method used
By using a virtual-real integration technology, a prediction model is used to analyze a two-dimensional target image, generating three-dimensional prediction information of the human body, color prediction information, and material prediction information. Lighting compensation is then performed to finally render a realistic three-dimensional relit image.
Benefits of technology
It improves the accuracy and realism of 3D reconstructed images, and can better reproduce the color and material properties of the target object in the real scene.
✦ Generated by Eureka AI based on patent content.
Smart Images

Figure CN116091683B_ABST
Abstract
The application relates to a method and system for displaying a virtual image based on a virtual-real combination technology and a storage medium, which comprises the following steps: collecting a two-dimensional target image containing a target object, inputting the two-dimensional target image into a preset prediction model to obtain human body three-dimensional prediction information, color prediction information, material prediction information and corresponding light prediction information of the target object, generating a three-dimensional reconstruction image under no light according to the three-dimensional prediction information, the color prediction information and the material prediction information, and rendering and processing the three-dimensional reconstruction image according to the light prediction information to obtain and display a three-dimensional reconstruction image with light. The model is trained through human body images under multiple different lights, the prediction result of the prediction model is more accurate, in addition, the light prediction information of the human body image is compensated based on the color prediction information of the human body image and the material prediction information of the human body image in the process of training the prediction model, the accuracy of the prediction result is further improved, and a more realistic three-dimensional reconstruction image with light is obtained.
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Citation Information
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