Lighting Estimation
Lighting Estimation is a computational method in augmented reality that determines the directional, intensity, and color properties of ambient illumination in a real-world scene from image or sensor data to enable photorealistic integration of virtual objects.
177
Publications
7.9K
Citations
461
Authors
223
Institutions
Publications per year
2017–2026
64
177
Learning to predict indoor illumination from a single image
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer et al. · ACM Transactions on Graphics · 2017 · 332 citations
Air-light estimation using haze-lines
Dana Berman, Tali Treibitz, Shai Avidan · 2017 · 180 citations
Shape estimation in natural illumination
Micah K. Johnson, Edward H. Adelson · 2011 · 172 citations
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461
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223
Nanyang Technological University
Singapore, Singapore
7 h-index
21 publications
1.3K citations

University of East Anglia
Norwich, United Kingdom
7 h-index
12 publications
568 citations

Zhejiang University
Hangzhou, China
6 h-index
18 publications
502 citations
Graz University of Technology
Graz, Austria
5 h-index
17 publications
868 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
17 publications
862 citations
Adobe Systems (United States)
San Jose, United States
5 h-index
14 publications
1.9K citations

Sichuan University
Chengdu, China
5 h-index
7 publications
128 citations

Université Laval
Québec, Canada
5 h-index
11 publications
1.2K citations
1–8 of 223
TVCG · 8 publications · 194 citations
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8 publications · 300 citations
8
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6 publications · 460 citations
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TPAMI · 6 publications · 805 citations
6
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CIC · 5 publications · 233 citations
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