Large Scale Comprehensive 3D Shape Retrieval

dc.contributor.authorLi, B.en_US
dc.contributor.authorLu, Y.en_US
dc.contributor.authorLi, C.en_US
dc.contributor.authorGodil, A.en_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.authorAono, M.en_US
dc.contributor.authorChen, Q.en_US
dc.contributor.authorChowdhury, N. K.en_US
dc.contributor.authorFang, B.en_US
dc.contributor.authorFuruya, T.en_US
dc.contributor.authorJohan, H.en_US
dc.contributor.authorKosaka, R.en_US
dc.contributor.authorKoyanagi, H.en_US
dc.contributor.authorOhbuchi, R.en_US
dc.contributor.authorTatsuma, A.en_US
dc.contributor.editorBenjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkampen_US
dc.date.accessioned2014-12-15T13:52:11Z
dc.date.available2014-12-15T13:52:11Z
dc.date.issued2014en_US
dc.description.abstractThe objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-scale comprehensive 3D shape database that contains different types of models, such as generic, articulated, CAD and architecture models. The track is based on a new comprehensive 3D shape benchmark, which contains 8,987 triangle meshes that are classified into 171 categories. The benchmark was compiled as a superset of existing benchmarks and presents a new challenge to retrieval methods as it comprises generic models as well as domainspecific model types. In this track, 14 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used performance metrics.en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-58-3en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20141059en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/3dor.20141059.131-140
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Computer Graphics]en_US
dc.subjectInformation Systemsen_US
dc.subjectInformation Search and Retrievalen_US
dc.titleLarge Scale Comprehensive 3D Shape Retrievalen_US
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