Shape Complexity Metrics
Shape Complexity Metrics is a computational metric that quantifies the intricacy of geometric forms in edge-based representations by analyzing structural features such as curvature, branching patterns, and topological irregularities inherent to the shape's轮廓.
102
Publications
23.8K
Citations
310
Authors
144
Institutions
Publications per year
2017–2026
22
Parents
102
Physical determinants of the judged complexity of shapes.
Fred Attneave · Journal of Experimental Psychology · 1957 · 353 citations
Medicine, Physics, Shape Grammar +12
Relationship between tetrahedron shape measures
A. Liu, Barry Joe · BIT Numerical Mathematics · 1994 · 227 citations
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144

Keio University
Tokyo, Japan
5 h-index
12 publications
294 citations

Manchester Metropolitan University
Manchester, United Kingdom
4 h-index
4 publications
176 citations

University of Liverpool
Liverpool, United Kingdom
4 h-index
4 publications
176 citations
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
14 publications
769 citations
Harvard University
Cambridge, United States
3 h-index
4 publications
1.2K citations

Universidad de Granada
Granada, Spain
3 h-index
8 publications
171 citations
University of Utah
Salt Lake City, United States
2 h-index
2 publications
53 citations

University of Louisville
Louisville, United States
2 h-index
13 publications
417 citations
1–8 of 144
4 publications · 482 citations
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3 publications · 68 citations
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JACMP · 2 publications · 89 citations
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TPAMI · 2 publications · 18.7K citations
2
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PRL · 2 publications · 186 citations
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