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Pascoal, P. B., Proença, P., Gaspar, F., Dias, M. S., Ferreira, A., Tatsuma, A....Paulus, D. (2016). SHREC'16 track: Shape retrieval of low-cost RGB-D captures. In Ferreira, A., Giachetti, A., and Giorgi, D. (Ed.), Eurographics 2016 Workshop on 3D Object Retrieval, EG 3DOR 2016. (pp. 69-78). Lisboa: Eurographics Association.

P. P.B. et al.,  "SHREC'16 track: Shape retrieval of low-cost RGB-D captures", in Eurographics 2016 Workshop on 3D Object Retrieval, EG 3DOR 2016, Ferreira, A., Giachetti, A., and Giorgi, D., Ed., Lisboa, Eurographics Association, 2016, pp. 69-78

@inproceedings{p.b.2016_1721946923446,
	author = "Pascoal, P. B. and Proença, P. and Gaspar, F. and Dias, M. S. and Ferreira, A. and Tatsuma, A. and Aono, M. and Logoglu, K. B. and Kalkan, S. and Temizel, A. and Li, B. and Johan, H. and Lu, Y. and Seib, V. and Link, N. and Paulus, D.",
	title = "SHREC'16 track: Shape retrieval of low-cost RGB-D captures",
	booktitle = "Eurographics 2016 Workshop on 3D Object Retrieval, EG 3DOR 2016",
	year = "2016",
	editor = "Ferreira, A., Giachetti, A., and Giorgi, D.",
	volume = "",
	number = "",
	series = "",
	doi = "10.2312/3dor.20161090",
	pages = "69-78",
	publisher = "Eurographics Association",
	address = "Lisboa",
	organization = "Instituto Superior Técnico",
	url = "http://eg3dor2016.tecnico.ulisboa.pt/shrec.html"
}

TY  - CPAPER
TI  - SHREC'16 track: Shape retrieval of low-cost RGB-D captures
T2  - Eurographics 2016 Workshop on 3D Object Retrieval, EG 3DOR 2016
AU  - Pascoal, P. B.
AU  - Proença, P.
AU  - Gaspar, F.
AU  - Dias, M. S.
AU  - Ferreira, A.
AU  - Tatsuma, A.
AU  - Aono, M.
AU  - Logoglu, K. B.
AU  - Kalkan, S.
AU  - Temizel, A.
AU  - Li, B.
AU  - Johan, H.
AU  - Lu, Y.
AU  - Seib, V.
AU  - Link, N.
AU  - Paulus, D.
PY  - 2016
SP  - 69-78
DO  - 10.2312/3dor.20161090
CY  - Lisboa
UR  - http://eg3dor2016.tecnico.ulisboa.pt/shrec.html
AB  - 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.
ER  -