3D Model Coloring for Virtual Viewpoint Noise Removal
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Solution Overview
Problem
Existing techniques for generating virtual viewpoint images often include noise in the three-dimensional model, such as shadows or background colors, which can result in unnatural coloration of objects when viewed from a virtual perspective, particularly in environments like studios or concert halls where camera installations are limited.
Innovation Solution
An image processing system that includes a coloring processing unit capable of analyzing and determining specific coloring methods for each voxel of the foreground model, using condition tables to differentiate between standard coloring and noise areas, ensuring natural coloration that matches the background, by employing a position analysis unit, color analysis unit, shape analysis unit, and coloring method determination unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standard coloring method is applied to the entire foreground model, then coloring process is simple and fast, but noise portions are colored with inappropriate colors (wall/floor colors or green background colors)
Solution Approach 1:
The foreground model is segmented into multiple regions based on spatial position, shape characteristics, and color properties. The coloring processing unit divides the model into noise portions and object portions, applying different coloring methods to each segment. This allows selective application of standard coloring to object portions while using specialized processing for noise portions, resolving the contradiction between processing speed and coloring accuracy.
Solution Approach 2:
Different coloring qualities are applied to different portions of the foreground model. Object portions receive standard coloring with full detail, while noise portions receive simplified or corrected coloring. This local differentiation ensures high coloring accuracy for actual objects while maintaining processing efficiency through simplified handling of noise regions.
2Manufacturing precision
If multiple analysis units and condition tables are used to differentiate noise areas, then coloring accuracy is improved, but device complexity increases
Solution Approach 1:
The coloring processing unit integrates multiple analysis functions (position analysis, shape analysis, color analysis) and condition table management into a single multi-functional module. This universal unit handles both noise detection and object coloring within one system, reducing overall device complexity while maintaining high coloring accuracy through coordinated use of multiple analysis capabilities.
Solution Approach 2:
The patent combines position analysis, shape analysis, and color analysis into an integrated coloring processing unit that operates simultaneously. Multiple condition tables are merged into a unified decision-making framework that determines coloring methods based on combined analysis results. This merging reduces system complexity by eliminating the need for separate independent systems for each analysis type.
Data Source
AI summary
An object is to appropriately determine a color of a three-dimensional model of an object. In an image processing apparatus, based on the analysis of the three-dimensional model of the object, the determination method of a color for the portion, which corresponds to the object shape of the component constituting the three-dimensional model, is made different from that for the portion, which does not correspond to the object shape.