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SHREC'12 Track: 3D mesh segmentation
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2012 (English)In: Eurographics Workshop on 3D Object Retrieval, EG 3DOR, 2012, 93-99 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
Series
Eurographics Workshop on 3D Object Retrieval, EG 3DOR, ISSN 1997-0463
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-128984DOI: 10.2312/3DOR/3DOR12/093-099Scopus ID: 2-s2.0-84883523222ISBN: 978-390567436-1 (print)OAI: oai:DiVA.org:kth-128984DiVA: diva2:650012
Conference
5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012; Cagliari; Italy; 13 May 2012 through 13 May 2012
Note

QC 20130919

Available from: 2013-09-19 Created: 2013-09-17 Last updated: 2013-09-19Bibliographically approved

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Huebner, Kai
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Citation style
  • apa
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  • Other locale
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Output format
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