Search: id:"swepub:oai:DiVA.org:kth-128984" >
SHREC'12 Track :
SHREC'12 Track : 3D mesh segmentation
-
Lavoué, G. (author)
-
Vandeborre, J. -P (author)
-
Benhabiles, H. (author)
-
show more...
-
Daoudi, M. (author)
-
- Huebner, Kai (author)
- KTH,Datorseende och robotik, CVAP
-
Mortara, M. (author)
-
Spagnuolo, M. (author)
-
show less...
-
(creator_code:org_t)
- 2012
- 2012
- English.
-
In: Eurographics Workshop on 3D Object Retrieval, EG 3DOR. - 9783905674361 ; , s. 93-99
- Related links:
-
https://urn.kb.se/re...
-
show more...
-
https://doi.org/10.2...
-
show less...
Abstract
Subject headings
Close
- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database