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dc.contributor.authorLi, B.en_US
dc.contributor.authorGodil, A.en_US
dc.contributor.authorAono, M.en_US
dc.contributor.authorBai, X.en_US
dc.contributor.authorFuruya, T.en_US
dc.contributor.authorLi, L.en_US
dc.contributor.authorLópez-Sastre, R.en_US
dc.contributor.authorJohan, H.en_US
dc.contributor.authorOhbuchi, R.en_US
dc.contributor.authorRedondo-Cabrera, C.en_US
dc.contributor.authorTatsuma, A.en_US
dc.contributor.authorYanagimachi, T.en_US
dc.contributor.authorZhang, S.en_US
dc.contributor.editorM. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreiraen_US
dc.date.accessioned2013-09-24T10:53:09Z
dc.date.available2013-09-24T10:53:09Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905674-36-1en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/3DOR/3DOR12/119-126en_US
dc.description.abstractGeneric 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented by different participants over the world. The track is based on a new generic 3D shape benchmark, which contains 1200 triangle meshes that are equally classified into 60 categories. In this track, 16 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used performance metrics.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): H.3.3 [Computer Graphics]: Information Systems- Information Search and Retrievalen_US
dc.titleSHREC'12 Track: Generic 3D Shape Retrievalen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.description.sectionheadersSHREC Sessionen_US


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