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Partial-to-Partial Shape Matching with Geometric Consistency
April 19, 2024, 4:45 a.m. | Viktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger, Daniel Cremers, Florian Bernard
cs.CV updates on arXiv.org arxiv.org
Abstract: Finding correspondences between 3D shapes is an important and long-standing problem in computer vision, graphics and beyond. A prominent challenge are partial-to-partial shape matching settings, which occur when the shapes to match are only observed incompletely (e.g. from 3D scanning). Although partial-to-partial matching is a highly relevant setting in practice, it is rarely explored. Our work bridges the gap between existing (rather artificial) 3D full shape matching and partial-to-partial real-world settings by exploiting geometric consistency …
3d scanning abstract arxiv beyond challenge computer computer vision cs.cv graphics match type vision
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