SHREC'10 Track: Correspondence Finding

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dc.contributor.authorBronstein, A. M.en_US
dc.contributor.authorBronstein, M. M.en_US
dc.contributor.authorCastellani, U.en_US
dc.contributor.authorDubrovina, A.en_US
dc.contributor.authorGuibas, L. J.en_US
dc.contributor.authorHoraud, R. P.en_US
dc.contributor.authorKimmel, R.en_US
dc.contributor.authorKnossow, D.en_US
dc.contributor.authorLavante, E. vonen_US
dc.contributor.authorMateus, D.en_US
dc.contributor.authorOvsjanikov, M.en_US
dc.contributor.authorSharma, A.en_US
dc.contributor.editorMohamed Daoudi and Tobias Schrecken_US
dc.date.accessioned2013-10-21T16:10:03Z
dc.date.available2013-10-21T16:10:03Z
dc.date.issued2010en_US
dc.description.abstractThe SHREC'10 correspondence finding benchmark simulates a one-to-one shape matching scenario, in which one of the shapes undergoes multiple modifications and transformations. The benchmark allows evaluating how correspondence algorithms cope with certain classes of transformations and what is the strength of the transformations that can be dealt with. The present paper is a report of the 3D Shape Retrieval Contest 2010 (SHREC'10) correspondence finding benchmark results.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/3DOR10/087-091en_US
dc.publisherThe Eurographics Associationen_US
dc.titleSHREC'10 Track: Correspondence Findingen_US
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