SHREC'12 Track: 3D Mesh Segmentation

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Date
2012
Journal Title
Journal ISSN
Volume Title
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.
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@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
} }
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