SHREC'12 Track: 3D mesh segmentation
2012 (English)In: Eurographics Workshop on 3D Object Retrieval, EG 3DOR, 2012, 93-99 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2012. 93-99 p.
, Eurographics Workshop on 3D Object Retrieval, EG 3DOR, ISSN 1997-0463
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-128984DOI: 10.2312/3DOR/3DOR12/093-099ScopusID: 2-s2.0-84883523222ISBN: 978-390567436-1OAI: oai:DiVA.org:kth-128984DiVA: diva2:650012
5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012; Cagliari; Italy; 13 May 2012 through 13 May 2012
QC 201309192013-09-192013-09-172013-09-19Bibliographically approved