Genyou Liu

Abstract Reliable coarse registration remains challenging when point-cloud scans have limited overlap and some keypoints lack valid correspondences. Conventional descriptor matching selects correspondences independently, which can produce many-to-one matches and force keypoints from non-overlapping regions into incorrect correspondences. To address this problem, we propose a Hypothesis-Feedback Partial Assignment framework (HFPA) for coarse registration.

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