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Feature sensitive mesh segmentation

Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680, Zhou, Qian-Yi, Hu, Shi-Min ORCID: https://orcid.org/0000-0001-7507-6542 and Martin, Ralph Robert 2006. Feature sensitive mesh segmentation. Presented at: SPM 2006: ACM Symposium on Solid and Physical Modeling, Cardiff, UK, 6-8 June 2006. Proceedings, SPM 2006 : ACM Symposium on Solid and Physical Modeling : Cardiff, Wales, United Kingdom, June 06-08, 2006. , vol.SPM06 New York, USA: Association for Computing Machinery, pp. 17-25. 10.1145/1128888.1128891

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Abstract

Segmenting meshes into natural regions is useful for model understanding and many practical applications. In this paper, we present a novel, automatic algorithm for segmenting meshes into meaningful pieces. Our approach is a clustering-based top-down hierarchical segmentation algorithm. We extend recent work on feature sensitive isotropic remeshing to generate a mesh hierarchy especially suitable for segmentation of large models with regions at multiple scales. Using integral invariants for estimation of local characteristics, our method is robust and efficient. Moreover, statistical quantities can be incorporated, allowing our approach to segment regions with different geometric characteristics or textures.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Mesh processing ; shape segmentation ; algorithms
Additional Information: Copyright © 2006 by the Association for Computing Machinery, Inc. Record has been EMAIL checked
Publisher: Association for Computing Machinery
ISBN: 1595933581
Related URLs:
Last Modified: 17 Oct 2022 09:41
URI: https://orca.cardiff.ac.uk/id/eprint/5213

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