Canonical Forms for Non-Rigid 3D Shape Retrieval

Eurographics DL Repository

Show simple item record Pickup, David en_US Sun, Xianfang en_US Rosin, Paul L. en_US Martin, Ralph R. en_US Cheng, Zhiquan en_US Nie, Sipin en_US Jin, Longcun en_US
dc.contributor.editor I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp en_US 2015-04-27T11:03:39Z 2015-04-27T11:03:39Z 2015 en_US
dc.identifier.uri en_US
dc.description.abstract We present a new benchmark for testing algorithms that create canonical forms for use in non-rigid 3D shape retrieval. We have combined two existing datasets to create a varied collection of models for testing. Canonical forms attempt to factor out a shape's pose, giving a pose-neutral shape. This opens up the possibility of using methods originally designed for rigid retrieval for the task of non-rigid shape retrieval. We demonstrate the benchmark by using it to compare the performance of nine canonical form methods, using three different retrieval algorithms. en_US
dc.publisher The Eurographics Association en_US
dc.title Canonical Forms for Non-Rigid 3D Shape Retrieval en_US
dc.description.seriesinformation Eurographics Workshop on 3D Object Retrieval en_US
dc.description.sectionheaders SHREC'15 Tracks en_US
dc.identifier.doi 10.2312/3dor.20151063 en_US
dc.identifier.pages 99-106 en_US

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