Synthetic Camera Generation
Synthetic Camera Generation is a computational method that systematically creates virtual camera models with parametric sensor characteristics and optical properties to simulate realistic image formation processes under controlled conditions.
18
Publications
2.8K
Citations
88
Authors
28
Institutions
Publications per year
2017–2026
5
Parents
18
Light Field Photography with a Hand-held Plenoptic Camera
Ren Ng, Marc Levoy, Mathieu Brédif et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2005 · 1.7K citations · Full text
Kartik Venkataraman, Dan Lelescu, Jacques Duparré et al. · ACM Transactions on Graphics · 2013 · 222 citations · Full text
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Rensselaer Polytechnic Institute
Troy, United States
2 h-index
3 publications
366 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
101 citations
Sandia National Laboratories
Albuquerque, United States
1 h-index
1 publications
38 citations

University of Birmingham
Birmingham, United Kingdom
1 h-index
1 publications
68 citations
California Institute of Technology
Pasadena, United States
1 h-index
2 publications
198 citations
University of Siegen
Siegen, Germany
1 h-index
4 publications
88 citations
Columbia University
New York, United States
1 h-index
1 publications
222 citations
Qinetiq (United Kingdom)
Farnborough, United Kingdom
1 h-index
1 publications
28 citations
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TOG · 2 publications · 360 citations
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AO · 1 publications · 44 citations
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1 publications · 16 citations
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1 publications · 114 citations
1
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1 publications · 29 citations
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