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Conference Papers Year : 2012

SHREC'12 Track: 3D mesh segmentation


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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hal-00725272 , version 1 (24-08-2012)



Guillaume Lavoué, Jean-Philippe Vandeborre, Halim Benhabiles, Mohamed Daoudi, Kai Huebner, et al.. SHREC'12 Track: 3D mesh segmentation. Eurographics 2012 Workshop on 3D Object Retrieval, May 2012, Cagliari, Italy. pp.93-99, ⟨10.2312/3DOR/3DOR12/093-099⟩. ⟨hal-00725272⟩
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