3D Object Rendering from 2D Images Using Light Source Extraction
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Solution Overview
Problem
Current technologies face challenges in accurately rendering realistic human facial skin tones in 3D models due to the complexity of light transport and separation of skin properties from a single 2D image, lacking a comprehensive solution for accounting for various skin components and illumination effects.
Innovation Solution
A method and apparatus for rendering 3D objects by extracting light source information and property information from 2D images, using a light source information extractor and a property information extractor to generate and render 3D objects, which includes grouping light sources and retrieving property information from a database to enhance rendering accuracy and realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single 2D image is used to extract facial texture, then the extraction process is simple, but the rendering realism is insufficient due to inability to separate multiple skin layers and properties
Solution Approach 1:
The patent segments the skin into multiple layers (surface layer, dermis layer, subsurface layer) and extracts different property information for each layer separately. This allows the system to capture complex light transport effects by processing each skin layer independently, thereby achieving realistic rendering while maintaining a manageable extraction process through systematic decomposition of the complex skin structure.
Solution Approach 2:
The patent transitions from using a single 2D image to utilizing multiple images from different viewpoints and lighting conditions. This dimensional expansion enables the extraction of comprehensive property information including surface properties, subsurface scattering characteristics, and illumination effects, which cannot be obtained from a single 2D image alone, thus significantly improving rendering realism.
2Manufacturing precision
If multiple combinations of light and object characteristics are considered, then rendering accuracy improves, but the number of cases increases making the solution complex
Solution Approach 1:
The patent extracts multiple property parameters from the 2D images including surface reflectivity, subsurface scattering coefficients, and illumination characteristics. By representing skin properties as a set of measurable parameters rather than dealing with all possible light-object combinations, the system achieves accurate rendering through parameter-based modeling, significantly reducing the complexity of handling multiple cases.
Solution Approach 2:
The patent creates a database of pre-extracted property information from multiple 2D images representing different lighting conditions and viewpoints. This database serves as a reference library that can be queried during rendering, allowing the system to reuse extracted property combinations rather than recalculating all possible scenarios, thereby reducing computational complexity while maintaining rendering accuracy.
3Manufacturing precision
If property information is extracted from 2D images, then rendering realism improves, but additional information processing is required to separate various skin components
Solution Approach 1:
The patent introduces an intermediary processing stage that uses pre-computed property information databases and standardized extraction algorithms. This intermediary layer simplifies the complex task of separating skin components by providing pre-processed property data that can be directly applied during rendering, reducing the computational burden of real-time skin component separation while maintaining high rendering realism.
Data Source
AI summary
Provided is a method and apparatus that may generate a three-dimensional (3D) object from a two-dimensional (2D) image, and render the generated 3D object.Light source information may be extracted from the 2D image using a characteristic of the 2D image, and property information associated with the 2D image may be extracted based on the light source information. In particular, specular information, scattering information, and the like may be stored in a database using a plurality of samples. Since pecular information or scattering information similar to an input image may be retrieved from the data base, property information may be quickly extracted.