Shape Retrieval of Low-Cost RGB-D Captures

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dc.contributor.authorPascoal, Pedro B.en_US
dc.contributor.authorProença, Pedroen_US
dc.contributor.authorGaspar, Filipeen_US
dc.contributor.authorDias, Miguel Salesen_US
dc.contributor.authorFerreira, Alfredoen_US
dc.contributor.authorTatsuma, Atsushien_US
dc.contributor.authorAono, Masakien_US
dc.contributor.authorLogoglu, K. Berkeren_US
dc.contributor.authorKalkan, Sinanen_US
dc.contributor.authorTemizel, Alptekinen_US
dc.contributor.authorLi, Boen_US
dc.contributor.authorJohan, Henryen_US
dc.contributor.authorLu, Yijuanen_US
dc.contributor.authorSeib, Viktoren_US
dc.contributor.authorLink, Normanen_US
dc.contributor.authorPaulus, Dietrichen_US
dc.contributor.editorA. Ferreira and A. Giachetti and D. Giorgien_US
dc.date.accessioned2016-05-04T16:04:59Z
dc.date.available2016-05-04T16:04:59Z
dc.date.issued2016en_US
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.en_US
dc.description.sectionheadersSHREC'16 Tracksen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.doi10.2312/3dor.20161090en_US
dc.identifier.isbn978-3-03868-004-8en_US
dc.identifier.issn1997-0471en_US
dc.identifier.pages69-78en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20161090en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Information Storage and Retrieval]en_US
dc.subjectInformation Search and Retrievalen_US
dc.subjectRelevance feedbacken_US
dc.subjectI.3.5 [Computer Graphics]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectGeometric algorithmsen_US
dc.subjectlanguagesen_US
dc.subjectand systemsen_US
dc.titleShape Retrieval of Low-Cost RGB-D Capturesen_US
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