Rigid Registration of Point Clouds Based on Partial Optimal Transport

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dc.contributor.authorQin, Hongxingen_US
dc.contributor.authorZhang, Yuchengen_US
dc.contributor.authorLiu, Zhentaoen_US
dc.contributor.authorChen, Baoquanen_US
dc.contributor.editorHauser, Helwig and Alliez, Pierreen_US
dc.date.accessioned2022-10-11T05:24:58Z
dc.date.available2022-10-11T05:24:58Z
dc.date.issued2022
dc.description.abstractFor rigid point cloud data registration, algorithms based on soft correspondences are more robust than the traditional ICP method and its variants. However, point clouds with severe outliers and missing data may lead to imprecise many‐to‐many correspondences and consequently inaccurate registration. In this study, we propose a point cloud registration algorithm based on partial optimal transport via a hard marginal constraint. The hard marginal constraint provides an explicit parameter to adjust the ratio of points that should be accurately matched, and helps avoid incorrect many‐to‐many correspondences. Experiments show that the proposed method achieves state‐of‐the‐art registration results when dealing with point clouds with significant amount of outliers and missing points (see ).en_US
dc.description.number6
dc.description.sectionheadersMajor Revision from Pacific Graphics
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume41
dc.identifier.doi10.1111/cgf.14614
dc.identifier.issn1467-8659
dc.identifier.pages365-378
dc.identifier.urihttps://doi.org/10.1111/cgf.14614
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14614
dc.publisher© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.subjectpoint‐based graphics
dc.subjectmodelling
dc.subjectpoint‐based methods
dc.subjectmethods and applications
dc.titleRigid Registration of Point Clouds Based on Partial Optimal Transporten_US
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