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  • Lavoué, G., et al. (author)
  • SHREC'12 Track : 3D mesh segmentation
  • 2012
  • In: Eurographics Workshop on 3D Object Retrieval, EG 3DOR. - 9783905674361 ; , s. 93-99
  • Conference paper (peer-reviewed)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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  • Result 1-1 of 1
Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Huebner, Kai (1)
Spagnuolo, M. (1)
Lavoué, G. (1)
Vandeborre, J. -P (1)
Benhabiles, H. (1)
Daoudi, M. (1)
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Mortara, M. (1)
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University
Royal Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2012 (1)

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