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Skeleton-based robust registration framework for corrupted 3D point clouds
DOI:10.1016/j.asoc.2025.113461.png)
Abstract
En 中文
• Introduces a robust skeleton-based registration framework for corrupted point cloud. • Effectively handles data corruptions like noise, density, and non-rigid distortions. • Demonstrates superior performance over existing methods through extensive evaluations. • Has significant implications for 3D sensing technologies in various real-world applications.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
No organization information available

