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Skeleton-based robust registration framework for corrupted 3D point clouds
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DOI：10.1016/j.asoc.2025.113461.png)
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Abstract
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• 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.
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6.6
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1.4W
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4.8W
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