Symmetry Descriptors and 3D Shape Matching

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dc.contributor.authorKazhdan, Michaelen_US
dc.contributor.authorFunkhouser, Thomasen_US
dc.contributor.authorRusinkiewicz, Szymonen_US
dc.contributor.editorRoberto Scopigno and Denis Zorinen_US
dc.date.accessioned2014-01-29T09:19:49Z
dc.date.available2014-01-29T09:19:49Z
dc.date.issued2004en_US
dc.description.abstractIn this paper, we present the Symmetry Descriptors of a 3D model. This is a collection of spherical functions that describes the measure of a model's rotational and reflective symmetry with respect to every axis passing through the center of mass. We show that Symmetry Descriptors can be computed efficiently using fast signal processing techniques, and demonstrate the empirical value of Symmetry Descriptors by showing that they improve matching performance in a variety of shape retrieval experiments.en_US
dc.description.seriesinformationSymposium on Geometry Processingen_US
dc.identifier.isbn3-905673-13-4en_US
dc.identifier.issn1727-8384en_US
dc.identifier.urihttps://doi.org/10.2312/SGP/SGP04/117-126en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniquesen_US
dc.titleSymmetry Descriptors and 3D Shape Matchingen_US
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SGP04: Eurographics Symposium on Geometry Processing