Shape Space Modeling
Shape Space Modeling is a mathematical framework that represents the space of all possible shapes as a geometric manifold, distinguished by its incorporation of deformation metrics and structural constraints to enable systematic analysis and interpolation of shape variations.
302
Publications
22.7K
Citations
776
Authors
334
Institutions
Publications per year
2017–2026
71
Parents
302
Learning a model of facial shape and expression from 4D scans
Tianye Li, Timo Bolkart, Michael J. Black et al. · ACM Transactions on Graphics · 2017 · 1.1K citations
Universal Parametric Geometry Representation Method
Brenda Kulfan · Journal of Aircraft · 2008 · 792 citations
Size and Shape Spaces for Landmark Data in Two Dimensions
Fred L. Bookstein · Statistical Science · 1986 · 620 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
11 h-index
42 publications
1.3K citations

University of Nottingham
Nottingham, United Kingdom
10 h-index
17 publications
608 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
15 publications
365 citations
Harvard University
Cambridge, United States
9 h-index
17 publications
1.6K citations
Florida State University
Tallahassee, United States
9 h-index
19 publications
12.1K citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
8 h-index
18 publications
862 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
7 h-index
15 publications
812 citations

University of Leeds
Leeds, United Kingdom
7 h-index
12 publications
754 citations
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TOG · 20 publications · 2.5K citations
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11 publications · 342 citations
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AAP · 10 publications · 410 citations
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Repository · 9 publications · 239 citations
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TPAMI · 8 publications · 3K citations
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