TY - GEN
T1 - SHREC'15 track
T2 - 8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015
AU - Lian, Z.
AU - Zhang, J.
AU - Choi, S.
AU - ElNaghy, H.
AU - El-Sana, J.
AU - Furuya, T.
AU - Giachetti, A.
AU - Guler, R. A.
AU - Lai, L.
AU - Li, C.
AU - Li, H.
AU - Limberger, F. A.
AU - Martin, R.
AU - Nakanishi, R. U.
AU - Neto, A. P.
AU - Nonato, L. G.
AU - Ohbuchi, R.
AU - Pevzner, K.
AU - Pickup, D.
AU - Rosin, P.
AU - Sharf, A.
AU - Sun, L.
AU - Sun, X.
AU - Tari, S.
AU - Unal, G.
AU - Wilson, R. C.
N1 - Funding Information: This work was supported by National Natural Science Foundation of China (Grant No.: 61202230 and 61472015), National Hi-Tech Research and Development Program (863 Program) of China (Grant No.: 2014AA015102) and Beijing Natural Science Foundation (Grant No.: 4152022). Publisher Copyright: © The Eurographics Association 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists of 1200 3D watertight triangle meshes which are equally classified into 50 categories. All models in the same category are generated from an original 3D mesh by implementing various pose transformations. The retrieval performance of a method is evaluated using 6 commonly-used measures (i.e., PR-plot, NN, FT, ST, E-measure and DCG.). Totally, there are 37 submissions and 11 groups taking part in this track. Evaluation results and comparison analyses described in this paper not only show the bright future in researches of non-rigid 3D shape retrieval but also point out several promising research directions in this topic.
AB - Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, computer vision, pattern recognition, etc. In this paper, we present the results of the SHREC'15 Track: Non-rigid 3D Shape Retrieval. The aim of this track is to provide a fair and effective platform to evaluate and compare the performance of current non-rigid 3D shape retrieval methods developed by different research groups around the world. The database utilized in this track consists of 1200 3D watertight triangle meshes which are equally classified into 50 categories. All models in the same category are generated from an original 3D mesh by implementing various pose transformations. The retrieval performance of a method is evaluated using 6 commonly-used measures (i.e., PR-plot, NN, FT, ST, E-measure and DCG.). Totally, there are 37 submissions and 11 groups taking part in this track. Evaluation results and comparison analyses described in this paper not only show the bright future in researches of non-rigid 3D shape retrieval but also point out several promising research directions in this topic.
UR - http://www.scopus.com/inward/record.url?scp=85016183704&partnerID=8YFLogxK
U2 - https://doi.org/10.2312/3DOR.20151064
DO - https://doi.org/10.2312/3DOR.20151064
M3 - Conference contribution
T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR
SP - 107
EP - 120
BT - EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval
A2 - Spagnuolo, Michela
A2 - Van Gool, Luc
A2 - Pratikakis, Ioannis
A2 - Theoharis, Theoharis
A2 - Veltkamp, Remco
PB - Eurographics Association
Y2 - 2 May 2015 through 3 May 2015
ER -