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dc.contributor.authorCerri, A.en_US
dc.contributor.authorBiasotti, S.en_US
dc.contributor.authorAbdelrahman, M.en_US
dc.contributor.authorAngulo, J.en_US
dc.contributor.authorBerger, K.en_US
dc.contributor.authorChevallier, L.en_US
dc.contributor.authorEl-Melegy, M.en_US
dc.contributor.authorFarag, A.en_US
dc.contributor.authorLefebvre, F.en_US
dc.contributor.authorGiachetti, A.en_US
dc.contributor.authorGuermoud, H.en_US
dc.contributor.authorLiu, Y.-J.en_US
dc.contributor.authorVelasco-Forero, S.en_US
dc.contributor.authorVigouroux, JR.en_US
dc.contributor.authorXu, C.-X.en_US
dc.contributor.authorZhang, J.-B.en_US
dc.contributor.editorUmberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkampen_US
dc.date.accessioned2013-09-24T12:04:07Z
dc.date.available2013-09-24T12:04:07Z
dc.date.issued2013en_US
dc.identifier.isbn978-3-905674-44-6en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/3DOR/3DOR13/073-080en_US
dc.description.abstractThis contribution reports the results of the SHREC 2013 track: Retrieval on Textured 3D Models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The collection to search in is made of 240 textured mesh models, divided into 10 classes. Each model has been used in turn as a query against the remaining part of the database. For a given query, the goal was to retrieve the most similar objects. The track saw six participants and the submission of eleven runs.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.1 [Information Storage and Retrieval]en_US
dc.subjectContent Analysis and Indexingen_US
dc.subjectAbstracting methodsen_US
dc.titleSHREC'13 Track: Retrieval on Textured 3D Modelsen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.description.sectionheadersSHREC Track Reportsen_US


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