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dc.contributor.authorLee, Sing Chunen_US
dc.contributor.authorKazhdan, Mishaen_US
dc.contributor.editorBommes, David and Huang, Huien_US
dc.date.accessioned2019-07-11T06:19:07Z
dc.date.available2019-07-11T06:19:07Z
dc.date.issued2019
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13787
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13787
dc.description.abstractWe describe a novel approach that addresses the problem of establishing correspondences between non-rigidly deformed shapes by performing the registration over the unit sphere. In a pre-processing step, each shape is conformally parametrized over the sphere, centered to remove Möbius inversion ambiguity, and authalically evolved to expand regions that are excessively compressed by the conformal parametrization. Then, for each pair of shapes, we perform fast SO(3) correlation to find the optimal rotational alignment and refine the registration using optical flow. We evaluate our approach on the TOSCA dataset, demonstrating that our approach compares favorably to state-of-the-art methods.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.5 [Computer Graphics]
dc.subjectComputational Geometry and Object Modeling
dc.subjectGeometric algorithms
dc.subjectlanguages
dc.subjectand systems
dc.titleDense Point-to-Point Correspondences Between Genus-Zero Shapesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersShape Correspondences
dc.description.volume38
dc.description.number5
dc.identifier.doi10.1111/cgf.13787
dc.identifier.pages27-37


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  • 38-Issue 5
    Geometry Processing 2019 - Symposium Proceedings

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