3D Scene Reconstruction Using Ray Bundles and Mesh Segmentation
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Solution Overview
Problem
Conventional single mesh-based reconstructions of three-dimensional scenes often produce gaps, inconsistencies, and occlusions, affecting the visual quality and accuracy of the reconstructed scene.
Innovation Solution
The system generates three-dimensional scene reconstructions using ray bundles, where each ray bundle is associated with a center point and includes rays or values representing depth at each degree, combined with various data such as point clouds, normals, and color consistency to create a more accurate and complete reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If single mesh-based reconstruction methods are used, then the reconstruction process is simple and fast, but the visual quality suffers with gaps, inconsistencies, and occlusions
Solution Approach 1:
The patent divides the scene reconstruction into multiple independent meshes, each representing a specific region or object. This segmentation allows each mesh to be optimized independently, reducing gaps and inconsistencies while maintaining manageable complexity for each individual mesh processing step.
Solution Approach 2:
The patent combines multiple reconstructed meshes into a unified three-dimensional scene. By merging separately reconstructed meshes with proper alignment and blending techniques, the system achieves higher overall reconstruction accuracy while filling gaps that would exist in single-mesh approaches.
2Reliability
If multiple meshes are used to improve reconstruction quality, then visual artifacts are reduced, but the processing complexity and computational resources increase
Solution Approach 1:
The patent segments the scene into multiple meshes that can be processed independently, allowing parallel computation and reducing the computational burden on any single processing unit. This segmentation maintains reconstruction consistency while distributing the processing complexity across multiple manageable tasks.
Solution Approach 2:
The patent applies partial reconstruction techniques where only critical regions requiring high accuracy are reconstructed with multiple detailed meshes, while less critical areas use simpler reconstruction methods. This selective approach maintains reliability where needed while controlling overall processing complexity.
Data Source
AI summary
A system configured to generate a three-dimensional scene reconstruction of a physical environment. In some cases, the system may store the three-dimensional scene reconstruction as two or more meshes and/or as one or more ray bundles including a plurality of depth values from a center point of the bundle.