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Spectral Consistency-Guided Multiview Point Cloud Registration for Low-Overlap Scenes

arXiv · AI, language, vision and robotics · article · Sep 11, 2026 · UTC

Multiview point cloud registration is particularly challenging in low-overlap scenes, where reliable correspondences are limited and incorrect pairwise transformations can affect global pose estimation. In addition, registering all scan pairs is computationally expensive because many pairs provide weak geometric information. To address these problems, we propose GMPCR, a non-learning-based spectral consistency-guided framework for efficient and robust multiview point cloud registration. GMPCR builds a refined second-order compatibility structure from initial correspondences and uses its domina

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