Large-Scale 3D Shape Retrieval from ShapeNet Core55

Savva, M.; Yu, F.; Su, Hao; Aono, M.; Chen, B.; Cohen-Or, D.; Deng, W.; Su, Hang; Bai, S.; Bai, X.; Fish, N.; Han, J.; Kalogerakis, E.; Learned-Miller, E. G.; Li, Y.; Liao, M.; Maji, S.; Tatsuma, A.; Wang, Y.; Zhang, N.; Zhou, Z.

Large-Scale 3D Shape Retrieval from ShapeNet Core55

Files

089-098.pdf (2.59 MB)

Date

2016

Publisher

The Eurographics Association

Abstract

With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent. Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories is more and more important. This track aims to provide a benchmark to evaluate large-scale shape retrieval based on the ShapeNet dataset. We use ShapeNet Core55, which provides more than 50 thousands models over 55 common categories in total for training and evaluating several algorithms. Five participating teams have submitted a variety of retrieval methods which were evaluated on several standard information retrieval performance metrics. We find the submitted methods work reasonably well on the track benchmark, but we also see significant space for improvement by future algorithms. We release all the data, results, and evaluation code for the benefit of the community.

        @inproceedings{10.2312:3dor.20161092
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {A. Ferreira and A. Giachetti and D. Giorgi
},
title = {{Large-Scale 3D Shape Retrieval from ShapeNet Core55
}},
author = {Savva, M. and 
Yu, F. and 
Fish, N. and 
Han, J. and 
Kalogerakis, E. and 
Learned-Miller, E. G. and 
Li, Y. and 
Liao, M. and 
Maji, S. and 
Tatsuma, A. and 
Wang, Y. and 
Zhang, N. and 
Su, Hao and 
Zhou, Z. and 
Aono, M. and 
Chen, B. and 
Cohen-Or, D. and 
Deng, W. and 
Su, Hang and 
Bai, S. and 
Bai, X.
},
year = {2016
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-004-8
},
DOI = {10.2312/3dor.20161092
}
}