SHREC'12 Track: 3D Mesh Segmentation

Lavoué, G.; Vandeborre, J-P.; Benhabiles, H.; Daoudi, M.; Huebner, K.; Mortara, M.; Spagnuolo, M.

SHREC'12 Track: 3D Mesh Segmentation

Files

093-099.pdf (566.93 KB)

Date

2012

Authors

Lavoué, G.
Vandeborre, J-P.
Benhabiles, H.
Daoudi, M.
Huebner, K.
Mortara, M.
Spagnuolo, M.

Publisher

The Eurographics Association

Abstract

3D mesh segmentation is a fundamental process in many applications such as shape retrieval, compression, deformation, etc. The objective of this track is to evaluate the performance of recent segmentation methods using a ground-truth corpus and an accurate similarity metric. The ground-truth corpus is composed of 28 watertight models, grouped in five classes (animal, furniture, hand, human and bust) and each associated with 4 ground-truth segmentations done by human subjects. 3 research groups have participated to this track, the accuracy of their segmentation algorithms have been evaluated and compared with 4 other state-of-the-art methods.

        @inproceedings{10.2312:3DOR/3DOR12/093-099
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {M. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira
},
title = {{SHREC'12 Track: 3D Mesh Segmentation
}},
author = {Lavoué, G. and 
Vandeborre, J-P. and 
Benhabiles, H. and 
Daoudi, M. and 
Huebner, K. and 
Mortara, M. and 
Spagnuolo, M.
},
year = {2012
},
publisher = {The Eurographics Association
},
ISSN = {1997-0463
},
ISBN = {978-3-905674-36-1
},
DOI = {10.2312/3DOR/3DOR12/093-099
}
}