Shape Analysis
Shape Analysis is a subfield of computer vision and machine vision that develops mathematical and algorithmic methods for representing, describing, and quantitatively comparing the geometric and topological properties of object shapes in images or spatial data, typically in a manner invariant to transformations such as translation, rotation, and scaling and supporting tasks such as recognition, segmentation, and shape grammar–based modeling.
16.2K
Publications
1.2M
Citations
30.9K
Authors
5.1K
Institutions
Publications per year
2017–2026
2.7K
16.2K
Object recognition from local scale-invariant features
David Lowe · 1999 · 16.2K citations
Tony F. Chan, Luminita A. Vese · IEEE Transactions on Image Processing · 2001 · 10.3K citations
1–5 of 16.2K
30.9K
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5.1K
Stanford University
Stanford, United States
75 h-index
379 publications
58.1K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
74 h-index
444 publications
43K citations
Massachusetts Institute of Technology
Cambridge, United States
68 h-index
312 publications
71.7K citations

Centre National de la Recherche Scientifique
Paris, France
67 h-index
769 publications
39.8K citations
University of Maryland, College Park
College Park, United States
64 h-index
372 publications
34.5K citations
Carnegie Mellon University
Pittsburgh, United States
60 h-index
319 publications
34.1K citations

Tel Aviv University
Tel Aviv, Israel
60 h-index
213 publications
24.9K citations
Technion – Israel Institute of Technology
Haifa, Israel
57 h-index
267 publications
31.3K citations
1–8 of 5.1K
TPAMI · 740 publications · 202.2K citations
173
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444 publications · 33.1K citations
86
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TOG · 180 publications · 27.8K citations
84
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192 publications · 22.3K citations
81
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312 publications · 35.6K citations
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