3D Reconstruction via 2D Silhouette Intersection
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Solution Overview
Problem
Traditional voxel-based 3D image reconstruction techniques face performance and flexibility issues, leading to real-time limitations and high computational resource consumption, and are inefficient for analyzing and tracking complex shapes like humans or animals.
Innovation Solution
The method employs a novel approach that reconstructs 3D scenes using 2D camera data and projects it back onto 2D surfaces, leveraging graphics card hardware to accelerate the process significantly, eliminating the need for voxels and enabling real-time, marker-less motion capture with high-speed detection and tracking of complex organic shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voxel-based 3D reconstruction techniques are used, then 3D shape representation is achieved, but computational resource consumption increases and real-time performance is limited
Solution Approach 1:
The patent segments the 3D reconstruction problem into multiple 2D silhouette processing tasks from different viewpoints. Instead of directly constructing a voxel grid in 3D space, the system processes 2D outlines from multiple cameras separately and combines them, dividing the computationally intensive 3D operation into lighter 2D operations that can be parallelized and executed in real-time.
Solution Approach 2:
The patent uses 2D silhouette copies from multiple viewpoints to reconstruct the 3D shape without requiring full 3D voxelization. By working with 2D projections and their intersections, the system achieves accurate 3D representation while avoiding the computational burden of complete voxel-based reconstruction, maintaining real-time performance.
2Manufacturing precision
If high-resolution voxel grids are used, then manufacturing precision improves, but computational resources are quickly depleted
Solution Approach 1:
The patent transitions from 3D voxel grid processing to 2D silhouette processing by projecting the 3D reconstruction problem into 2D image space. This dimensionality reduction allows high-resolution 3D reconstruction to be achieved through 2D operations that consume significantly fewer computational resources, enabling both high precision and real-time performance.
3Measurement precision
If traditional space carving techniques with predefined 3D grids are used, then systematic 3D reconstruction is achieved, but device complexity and computational overhead increase
Solution Approach 1:
Instead of projecting 3D voxels onto 2D planes (traditional space carving), the patent inverts the approach by intersecting 2D silhouettes to reconstruct the 3D shape. This reversal eliminates the need for predefined 3D grids and reduces system complexity while maintaining reconstruction accuracy through the natural geometry of silhouette intersections.
Data Source
AI summary
Embodiments of the invention are directed to improved systems and methods for three dimensional (3D) image reconstruction. The systems and methods are directed to extracting, digitally reconstructing and optionally tracking 3D objects from multiple two dimensional (2D) video camera sources. The systems and methods are directed to reconstructing a 3D scene via 2D cameras and then re-projecting this data back onto 2D surfaces. This system and method can greatly simplify the image processing required to analyze the 3D model by moving the analysis techniques back into the 2D domain.