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SHREC'12 Track :
SHREC'12 Track : 3D mesh segmentation
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Lavoué, G. (författare)
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Vandeborre, J. -P (författare)
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Benhabiles, H. (författare)
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Daoudi, M. (författare)
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- Huebner, Kai (författare)
- KTH,Datorseende och robotik, CVAP
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Mortara, M. (författare)
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Spagnuolo, M. (författare)
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(creator_code:org_t)
- 2012
- 2012
- Engelska.
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Ingår i: Eurographics Workshop on 3D Object Retrieval, EG 3DOR. - 9783905674361 ; , s. 93-99
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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