SHREC'12 Track: 3D mesh segmentation

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.
Type de document :
Communication dans un congrès
Eurographics 2012 Workshop on 3D Object Retrieval, May 2012, Cagliari, Italy. pp.93-99, 2012, <10.2312/3DOR/3DOR12/093-099>
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https://hal.archives-ouvertes.fr/hal-00725272
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Dernière modification le : jeudi 15 décembre 2016 - 09:19:54
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Shrec12Segmentation.pdf
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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, 2012, <10.2312/3DOR/3DOR12/093-099>. <hal-00725272>

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