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dc.contributor.authorCohen, Aharonen_US
dc.contributor.authorBen-Chen, Mirelaen_US
dc.contributor.editorPanozzo, Daniele and Assarsson, Ulfen_US
dc.date.accessioned2020-05-24T12:54:10Z
dc.date.available2020-05-24T12:54:10Z
dc.date.issued2020
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13952
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13952
dc.description.abstractWe propose a method to automatically match two shape collections with a similar shape space structure, e.g. two characters in similar poses, and compute the inter-maps between the collections. Given the intra-maps in each collection, we extract the corresponding shape difference operators, and use them to construct an embedding of the shape space of each collection. We then align the two shape spaces, and use the knowledge gained from the alignment to compute the inter-maps. Unlike existing approaches for collection alignment, our method is applicable to small and large collections alike, and requires no parameter tuning. Furthermore, unlike most approaches for non-isometric correspondence, our method uses solely the variation within the collection to extract the inter-maps, and therefore does not require landmarks, descriptors or any additional input. We demonstrate that we achieve high matching accuracy rates, and compute high quality maps on non-isometric shapes, which compare favorably with automatic state-of-the-art methods for non-isometric shape correspondence.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComputing methodologies
dc.subjectShape analysis
dc.titleRobust Shape Collection Matching and Correspondence from Shape Differencesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersShape Collections
dc.description.volume39
dc.description.number2
dc.identifier.doi10.1111/cgf.13952
dc.identifier.pages555-568


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License