3DOR 12
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Browsing 3DOR 12 by Subject "Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling- I.2.10 [Artificial intelligence]: Vision and Scene Understanding-Shape"
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Item SHREC'12 Track: 3D Mesh Segmentation(The Eurographics Association, 2012) Lavoué, G.; Vandeborre, J-P.; Benhabiles, H.; Daoudi, M.; Huebner, K.; Mortara, M.; Spagnuolo, M.; M. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira3D 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.