Publication in conference proceedings
SHREC'16 track: Shape retrieval of low-cost RGB-D captures
Pedro B. Pascoal (Pascoal, P. B.); Pedro Proenca (Proença, P.); Filipe Gaspar (Gaspar, F.); Miguel Sales Dias (Dias, M. S.); Alfredo Ferreira (Ferreira, A.); Atsushi Tatsuma (Tatsuma, A.); Masaki Aono (Aono, M.); K. Berker Logoglu (Logoglu, K. B.); Sinan Kalkan (Kalkan, S.); Alptekin Temizel (Temizel, A.); Bo Li (Li, B.); Henry Johan (Johan, H.); Yijuan Lu (Lu, Y.); Viktor Seib (Seib, V.); Norman Link (Link, N.); Dietrich Paulus (Paulus, D.); et al.
Eurographics 2016 Workshop on 3D Object Retrieval, EG 3DOR 2016
Year (definitive publication)
2016
Language
English
Country
Germany
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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.
Acknowledgements
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Keywords
  • Physical Sciences - Natural Sciences
Funding Records
Funding Reference Funding Entity
AAL 2014-076 AAL Joint Programme
15K15992 Kayamori Foundation of Informational Science Advancement
15K12027 Kayamori Foundation of Informational Science Advancement
26280038 Kayamori Foundation of Informational Science Advancement