Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/23231
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dc.contributor.authorPascoal, P. B.-
dc.contributor.authorProença, P.-
dc.contributor.authorGaspar, F.-
dc.contributor.authorDias, M. S.-
dc.contributor.authorFerreira, A.-
dc.contributor.authorTatsuma, A.-
dc.contributor.authorAono, M.-
dc.contributor.authorLogoglu, K. B.-
dc.contributor.authorKalkan, S.-
dc.contributor.authorTemizel, A.-
dc.contributor.authorLi, B.-
dc.contributor.authorJohan, H.-
dc.contributor.authorLu, Y.-
dc.contributor.authorSeib, V.-
dc.contributor.authorLink, N.-
dc.contributor.authorPaulus, D.-
dc.contributor.editorFerreira, A., Giachetti, A., and Giorgi, D.-
dc.date.accessioned2021-09-27T15:23:10Z-
dc.date.available2021-09-27T15:23:10Z-
dc.date.issued2016-01-01-
dc.identifier.isbn978-303868004-8-
dc.identifier.urihttp://hdl.handle.net/10071/23231-
dc.description.abstractRGB-D cameras allow to capture digital representations of objects in an easy and inexpensive way. Such technology enables ordinary users to capture everyday object into digital 3D representations. In this context, we present a track for the Shape Retrieval Contest, which focus on objects digitized using the latest version of Microsoft Kinect, namely, Kinect One. The proposed, track encompasses a dataset of two hundred objects and respective classification.eng
dc.language.isoeng-
dc.publisherEurographics Association-
dc.relationAAL 2014-076-
dc.relation15K15992-
dc.relation15K12027-
dc.relation26280038-
dc.rightsopenAccess-
dc.titleSHREC'16 track: Shape retrieval of low-cost RGB-D captureseng
dc.typeconferenceObject-
dc.event.title9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016-
dc.event.typeWorkshoppt
dc.event.locationLisboaeng
dc.event.date2016-
dc.pagination69 - 78-
dc.peerreviewedyes-
dc.journalEurographics 2016 Workshop on 3D Object Retrieval, EG 3DOR 2016-
degois.publication.firstPage69-
degois.publication.lastPage78-
degois.publication.locationLisboaeng
degois.publication.titleSHREC'16 track: Shape retrieval of low-cost RGB-D captureseng
dc.date.updated2021-09-27T16:16:33Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.2312/3dor.20161090-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências Físicaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-71856-
iscte.alternateIdentifiers.scopus2-s2.0-85018668359-
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