SHREC'10 Track: Non-rigid 3D Shape Retrieval

dc.contributor.authorLian, Z.en_US
dc.contributor.authorGodil, A.en_US
dc.contributor.authorFabry, T.en_US
dc.contributor.authorFuruya, T.en_US
dc.contributor.authorHermans, J.en_US
dc.contributor.authorOhbuchi, R.en_US
dc.contributor.authorShu, C.en_US
dc.contributor.authorSmeets, D.en_US
dc.contributor.authorSuetens, P.en_US
dc.contributor.authorVandermeulen, D.en_US
dc.contributor.authorWuhrer, S.en_US
dc.contributor.editorMohamed Daoudi and Tobias Schrecken_US
dc.date.accessioned2013-10-21T16:10:04Z
dc.date.available2013-10-21T16:10:04Z
dc.date.issued2010en_US
dc.description.abstractNon-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the 3D Shape Retrieval Contest 2010 (SHREC'10) track on non-rigid 3D shape retrieval is to evaluate and compare the effectiveness of different methods run on a non-rigid 3D shape benchmark consisting of 200 watertight triangular meshes. Three groups with six methods have participated in this track and the retrieval performance was evaluated using six commonly-used metrics.en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-22-4en_US
dc.identifier.issn1997-0471en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR10/101-108en_US
dc.publisherThe Eurographics Associationen_US
dc.titleSHREC'10 Track: Non-rigid 3D Shape Retrievalen_US
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