Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/23231
Author(s): Pascoal, P. B.
Proença, P.
Gaspar, F.
Dias, M. S.
Ferreira, A.
Tatsuma, A.
Aono, M.
Logoglu, K. B.
Kalkan, S.
Temizel, A.
Li, B.
Johan, H.
Lu, Y.
Seib, V.
Link, N.
Paulus, D.
Editor: Ferreira, A., Giachetti, A., and Giorgi, D.
Date: 1-Jan-2016
Title: SHREC'16 track: Shape retrieval of low-cost RGB-D captures
Pages: 69 - 78
Event title: 9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016
ISBN: 978-303868004-8
DOI (Digital Object Identifier): 10.2312/3dor.20161090
Abstract: RGB-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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:ISTAR-CRI - Comunicações a conferências internacionais

Files in This Item:
File SizeFormat 
conferenceobject_71856.pdf5,49 MBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.