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Hierarchical mesh decomposition using fuzzy clustering and cuts

Katz, Sagi, Tal, Ayellet·2003·ACM SIGGRAPH 2003 Papers

Abstract

Cutting up a complex object into simpler sub-objects is a fundamental problem in various disciplines. In image processing, images are segmented while in computational geometry, solid polyhedra are decomposed. In recent years, in computer graphics, polygonal meshes are decomposed into sub-meshes. In this paper we propose a novel hierarchical mesh decomposition algorithm. Our algorithm computes a decomposition into the meaningful components of a given mesh, which generally refers to segmentation at regions of deep concavities. The algorithm also avoids over-segmentation and jaggy boundaries between the components. Finally, we demonstrate the utility of the algorithm in control-skeleton extraction.

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Metadata

Authors
Katz, S., & Tal, A.
Venue
ACM SIGGRAPH 2003 Papers
Publisher
ACM
Published
2003-07
Pages
954-961
OpenAlex
W2160994953
Cited by
577
References
2
FWCI
20.10
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hierarchical mesh decomposition using fuzzy clustering and cuts. https://app.cochat.ai/papers/10.1145/1201775.882369
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Katz, S., & Tal, A. (2003). Hierarchical mesh decomposition using fuzzy clustering and cuts. ACM SIGGRAPH 2003 Papers. https://doi.org/10.1145/1201775.882369

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