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Skeleton-based robust registration framework for corrupted 3D point clouds

delete2025-06-24
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PRE
AI
Y
Yongqiang Wang
李维刚 (Weigang Li)
Z
Zhiqiang Tian
J
Jinling Li
DOI:10.1016/j.asoc.2025.113461delete
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Abstract

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

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

No organization information available