Hierarchical Shape Decomposition
Hierarchical Shape Decomposition is a constructive solid geometry method that organizes geometric primitives and Boolean operations in a tree-structured hierarchy, where each node represents a spatial subdivision or combination operation, enabling efficient representation, modification, and rendering of complex 3D shapes through recursive composition.
75
Publications
5K
Citations
200
Authors
132
Institutions
Publications per year
2017–2026
7
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75
Hierarchical mesh decomposition using fuzzy clustering and cuts
Sagi Katz, Ayellet Tal · 2003 · 580 citations
Wei‐Ting Chen, Haoyu Fang, Cheng‐Lin Hsieh et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 238 citations
1–5 of 75
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Istituto di Cibernetica “Eduardo Caianiello”, Italy
3 publications · 63 citations
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1–5 of 200
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Stanford University
Stanford, United States
3 h-index
7 publications
635 citations
New York University
New York, United States
3 h-index
3 publications
175 citations

Zhejiang University
Hangzhou, China
3 h-index
6 publications
73 citations
Courant Institute of Mathematical Sciences
New York, United States
3 h-index
3 publications
175 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
44 citations
Jet Propulsion Laboratory
Pasadena, United States
2 h-index
2 publications
370 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
260 citations
University of Maryland, College Park
College Park, United States
2 h-index
3 publications
67 citations
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TPAMI · 5 publications · 461 citations
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TOG · 3 publications · 710 citations
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3 publications · 394 citations
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3 publications · 176 citations
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2 publications · 68 citations
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