Publications

BibTex format

@inproceedings{Pickup:2014:10.2312/3DOR.20141056,
author = {Pickup, D and Sun, X and Rosin, PL and Martin, RR and Cheng, Z and Lian, Z and Aono, M and Ben, Hamza A and Bronstein, A and Bronstein, M and Bu, S and Castellani, U and Cheng, S and Garro, V and Giachetti, A and Godil, A and Han, J and Johan, H and Lai, L and Li, B and Li, C and Li, H and Litman, R and Liu, X and Liu, Z and Lu, Y and Tatsuma, A and Ye, J},
doi = {10.2312/3DOR.20141056},
title = {SHREC'14 track: Shape retrieval of non-rigid 3D human models},
url = {http://dx.doi.org/10.2312/3DOR.20141056},
year = {2014}
}

Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. In this track nine groups have submitted the results of a total of 22 different methods which have been tested on our new dataset.
AU  - Pickup,D
AU  - Sun,X
AU  - Rosin,PL
AU  - Martin,RR
AU  - Cheng,Z
AU  - Lian,Z
AU  - Aono,M
AU  - Ben,Hamza A
AU  - Bronstein,A
AU  - Bronstein,M
AU  - Bu,S
AU  - Castellani,U
AU  - Cheng,S
AU  - Garro,V
AU  - Giachetti,A
AU  - Godil,A
AU  - Han,J
AU  - Johan,H
AU  - Lai,L
AU  - Li,B
AU  - Li,C
AU  - Li,H
AU  - Litman,R
AU  - Liu,X
AU  - Liu,Z
AU  - Lu,Y
AU  - Tatsuma,A
AU  - Ye,J
DO  - 10.2312/3DOR.20141056
PY  - 2014///
SN  - 1997-0463
TI  - SHREC'14 track: Shape retrieval of non-rigid 3D human models
UR  - http://dx.doi.org/10.2312/3DOR.20141056
ER  -

Download

ProfessorMichaelBronstein

Contact

Location

Summary

Citation

BibTex format

RIS format (EndNote, RefMan)