Surface Scan Comparison for Real-Time Pose Estimation
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Solution Overview
Problem
Current pose estimation methods, such as the spin-image algorithm, are computationally complex and impractical for real-time applications due to the time-consuming process of comparing large numbers of spin-images, which is necessary for accurate surface data acquisition and assessment, especially in fields requiring rapid and precise object identification and comparison.
Innovation Solution
A surface data acquisition, storage, and assessment system that reduces the number of comparisons by representing spin-images with fewer numbers, using a similarity measure to group matches, and employing advanced computing hardware like GPUs for parallel processing, allowing for quicker pose estimation and real-time comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the spin-image algorithm is used for pose estimation, then measurement precision is improved, but productivity deteriorates due to computational complexity
Solution Approach 1:
The patent segments the spin-image comparison process into distinct phases: feature extraction, spin-image generation, and comparison. By identifying and optimizing critical paths within these segments, the system achieves faster processing while maintaining accuracy. The segmentation allows parallel processing of independent spin-images using GPU architecture.
Solution Approach 2:
The patent replaces traditional CPU-based sequential processing with GPU-based parallel processing. This substitution leverages the massively parallel architecture of GPUs to perform simultaneous spin-image comparisons, dramatically increasing processing speed while maintaining the mathematical rigor of the spin-image algorithm for accurate pose estimation.
2Measurement precision
If the number of spin-image comparisons is increased, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary actions by pre-computing and storing spin-images for reference surfaces in a database. During assessment, only comparison operations are needed rather than full regeneration of spin-images. This preliminary preparation significantly reduces the time required for actual comparisons while enabling comprehensive accuracy through multiple comparisons.
Solution Approach 2:
The patent implements continuous processing by pipelines the data flow from surface scanning through spin-image generation to comparison and assessment. The GPU architecture maintains continuous utilization by processing multiple spin-images in parallel without idle time, ensuring that the increased number of comparisons does not proportionally increase total processing time.
Data Source
AI summary
A surface data acquisition, storage, and assessment system for detecting and quantifying similarities or differences between stored data and data collected from a scan. The system operates to scan features of an object and weighs various parameters and utilizing fuzzy logic makes a recommendation.


