Shadow Softness
Shadow Softness is a photometric property in computer vision and image analysis that characterizes the gradual transition between illuminated and occluded regions in a shadow, distinguishing itself from binary or hard-edged shadow representations by quantifying the spatial diffusion and perceptual blurriness of shadow boundaries.
31
Publications
1.3K
Citations
101
Authors
58
Institutions
Publications per year
2017–2026
6
Parents
31
Learning to Remove Soft Shadows
Maciej Gryka, Michael Terry, Gabriel Brostow · ACM Transactions on Graphics · 2015 · 155 citations
Percentage-closer soft shadows
Randima Fernando · 2005 · 155 citations
Fast calculation of soft shadow textures using convolution
Cyril Soler, François X. Sillion · 1998 · 153 citations · Full text
1–5 of 31
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Institut national de recherche en sciences et technologies du numérique, France
2 publications · 170 citations
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2
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1–5 of 101
58
University College London
London, United Kingdom
3 h-index
5 publications
375 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
5 publications
125 citations

National Institute of Technology Calicut
Kozhikode, India
2 h-index
5 publications
72 citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
466 citations

Zhejiang University
Hangzhou, China
2 h-index
5 publications
107 citations

TU Wien
Vienna, Austria
2 h-index
2 publications
28 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
81 citations
Mary Kay (United States)
Addison, United States
1 h-index
1 publications
147 citations
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3 publications · 52 citations
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1 publications · 14 citations
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Conference · 1 publications · 134 citations
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1 publications · 15 citations
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ApJ · 1 publications · 11 citations
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