Reflectance Reconstruction
Reflectance Reconstruction is a computational method that distinguishes itself by estimating the intrinsic surface reflectance properties of a scene or object from one or more input images, enabling accurate visualization and analysis of material appearance under varying illumination and viewing conditions.
355
Publications
21.2K
Citations
885
Authors
348
Institutions
Publications per year
2017–2026
94
Parents
355
Acquiring the reflectance field of a human face
Paul Debevec, Tim Hawkins, Chris Tchou et al. · 2000 · 1K citations
Deriving intrinsic images from image sequences
Yaakov Weiss · 2002 · 583 citations
Paul Debevec, Jitendra Malik, Tim Hawkins · 1999 · 424 citations · Full text
1–5 of 355
885
11
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9
h-index
Norwegian University of Science and Technology, Norway
9 publications · 365 citations
9
h-index
8
h-index
1–5 of 885
348
Microsoft Research Asia (China)
Beijing, China
14 h-index
40 publications
2.4K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
12 h-index
35 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
24 publications
1.6K citations

Zhejiang University
Hangzhou, China
11 h-index
37 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
10 h-index
24 publications
8.5K citations
Adobe Systems (United States)
San Jose, United States
10 h-index
20 publications
1.3K citations
University College London
London, United Kingdom
9 h-index
10 publications
548 citations
Columbia University
New York, United States
9 h-index
15 publications
1.5K citations
1–8 of 348
TOG · 28 publications · 2.5K citations
24
h-index
TPAMI · 20 publications · 1.7K citations
17
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20 publications · 1.7K citations
16
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12 publications · 507 citations
12
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13 publications · 563 citations
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