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dc.contributor.authorGodil, A.en_US
dc.contributor.authorDutagaci, H.en_US
dc.contributor.authorBustos, B.en_US
dc.contributor.authorChoi, S.en_US
dc.contributor.authorDong, S.en_US
dc.contributor.authorFuruya, T.en_US
dc.contributor.authorLi, H.en_US
dc.contributor.authorLink, N.en_US
dc.contributor.authorMoriyama, A.en_US
dc.contributor.authorMeruane, R.en_US
dc.contributor.authorOhbuchi, R.en_US
dc.contributor.authorPaulus, D.en_US
dc.contributor.authorSchreck, T.en_US
dc.contributor.authorSeib, V.en_US
dc.contributor.authorSipiran, I.en_US
dc.contributor.authorYin, H.en_US
dc.contributor.authorZhang, C.en_US
dc.contributor.editorI. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkampen_US
dc.date.accessioned2015-04-27T11:03:43Z
dc.date.available2015-04-27T11:03:43Z
dc.date.issued2015en_US
dc.identifier.urihttp://dx.doi.org/10.2312/3dor.20151069en_US
dc.description.abstractThe objective of the SHREC'15 Range Scans based 3D Shape Retrieval track is to evaluate algorithms that match range scans of real objects to complete 3D mesh models in a target dataset. The task is to retrieve a rank list of complete 3D models that are of the same category given the range scan of a query object. This capability is essential to many computer vision systems that involves recognition and classification of objects in the environment based on depth information. In this track, the target dataset consists of 1200 3D mesh models and the query set has 180 range scans of 60 physical objects. Six research groups participated in the contest with a total of 16 different runs. This paper presents the track datasets, participants' methods and the results of the contest.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectRange dataen_US
dc.subjectH.3.3 [Information Storage and Retrieval]en_US
dc.subjectInformation Search and Retrievalen_US
dc.titleRange Scans based 3D Shape Retrievalen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.description.sectionheadersSHREC'15 Tracksen_US
dc.identifier.doi10.2312/3dor.20151069en_US
dc.identifier.pages153-160en_US


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