Surface Scan Comparison Using Spin-Image Pose Estimation
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Solution Overview
Problem
Current systems for surface data acquisition and assessment are inefficient in real-time pose estimation and require immobilization of objects, making them impractical for many applications and time-consuming for complex surface measurements, especially in medical settings like wound assessment.
Innovation Solution
A surface data acquisition, storage, and assessment system that uses spin-image pose estimation with reduced computational complexity, allowing for real-time comparisons by representing 2D images with fewer numbers and using a similarity measure to group matches, and includes a data analysis module capable of detecting and quantifying similarities or differences between scanned and stored data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional pose estimation methods are used to compare surface data, then measurement accuracy is improved, but computational time and complexity increase significantly
Solution Approach 1:
The patent segments the surface data into discrete points and represents each point's local topology as a separate spin-image. This segmentation allows for efficient parallel processing and comparison of surface features without requiring complex global transformations, thereby reducing computational time while maintaining measurement precision.
Solution Approach 2:
The patent creates spin-image representations as simplified copies of the actual surface data. These spin-images are 2D histograms that capture the essential topological features of surface points without requiring the full complexity of the original 3D point cloud data, enabling faster comparison while preserving measurement accuracy.
2Measurement precision
If traditional surface scanning systems are used, then detailed surface measurement is improved, but the requirement for object immobilization increases device complexity
Solution Approach 1:
The patent employs dynamic pose estimation algorithms that can handle moving objects and varying scan positions. The spin-image comparison method is invariant to rigid transformations, allowing the system to accurately measure surface features regardless of object movement or scanner position changes, thereby eliminating the need for complex immobilization devices.
Solution Approach 2:
The patent transforms the surface measurement problem from requiring fixed positional parameters to using invariant spin-image representations. By changing the measurement parameters from absolute coordinates to relative topological features captured in spin-images, the system achieves detailed surface measurement without requiring object immobilization.
3Measurement precision
If full-resolution surface data is processed, then measurement accuracy is improved, but data processing complexity and time increase
Solution Approach 1:
The patent creates simplified spin-image representations as copies of the full-resolution surface data. Each spin-image is a 2D histogram that captures the essential topological features of surface points with far fewer data elements than the original point cloud, enabling efficient processing while preserving measurement accuracy through the invariant properties of spin-images.
Data Source
AI summary
A surface data acquisition, storage, and assessment system for detecting and quantifying similarities or differences between scanned surface data before and after the surface has been acted upon by a surface altering element.