Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching. (arXiv:2201.04797v1 [cs.CV]) | allainews.com

Jan. 14, 2022, 2:10 a.m. | Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman

cs.CV updates on arXiv.org arxiv.org

We develop new statistics for robustly filtering corrupted keypoint matches
in the structure from motion pipeline. The statistics are based on consistency
constraints that arise within the clustered structure of the graph of keypoint
matches. The statistics are designed to give smaller values to corrupted
matches and than uncorrupted matches. These new statistics are combined with an
iterative reweighting scheme to filter keypoints, which can then be fed into
any standard structure from motion pipeline. This filtering method can be …

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