Depth From Shape
Depth From Shape is a perceptual inference mechanism in form perception whereby three-dimensional depth is derived from two-dimensional shape information based on geometric regularities and symmetry constraints inherent in the stimulus configuration.
24
Publications
1.5K
Citations
53
Authors
25
Institutions
Publications per year
2017–2026
3
Parents
24
Sebastian Thrun, Ben Wegbreit · 2005 · 231 citations
Multivariate Functional Halfspace Depth
Gerda Claeskens, Mia Hubert, Leen Slaets et al. · Journal of the American Statistical Association · 2013 · 136 citations · Full text
Mixture models and the probabilistic structure of depth cues
David C. Knill · Vision Research · 2003 · 103 citations
Early vision and focal attention
Béla Julesz · Reviews of Modern Physics · 1991 · 85 citations
1–5 of 24
53
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2 publications · 119 citations
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25

Cairo University
Giza, Egypt
3 h-index
7 publications
267 citations

Harvard University Press
Cambridge, United States
2 h-index
2 publications
97 citations

Justus-Liebig-Universität Gießen
Giessen, Germany
2 h-index
2 publications
70 citations
Stanford University
Stanford, United States
2 h-index
5 publications
567 citations

Brandeis University
Waltham, United States
2 h-index
4 publications
420 citations

University of Minnesota
Minneapolis, United States
1 h-index
3 publications
93 citations
Charles University
Prague, Czechia
1 h-index
2 publications
92 citations
Western Kentucky University
Bowling Green, United States
1 h-index
3 publications
213 citations
1–8 of 25
4 publications · 329 citations
4
h-index
2 publications · 97 citations
2
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2 publications · 90 citations
2
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2 publications · 70 citations
2
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1 publications · 47 citations
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