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

Authors

88

  1. IC
    Indranil Chakravarty

    Rensselaer Polytechnic Institute, United States

    3 publications · 424 citations

    3

    h-index

  2. MP
    Michael Potmesil

    AT&T (United States), United States

    3 publications · 424 citations

    3

    h-index

  3. SQ
    Sean Quirin

    Stanford University, United States

    1 publications · 44 citations

    1

    h-index

  4. DR
    D. R. Golish

    University of Arizona, United States

    1 publications · 29 citations

    1

    h-index

  5. MB
    Mathieu Brédif

    Duval County Public Schools, United States

    1 publications · 1.7K citations

    1

    h-index

1–5 of 88

Venues

  1. ACM Transactions on Graphics

    TOG · 2 publications · 360 citations

    2

    h-index

  2. Applied Optics

    AO · 1 publications · 44 citations

    1

    h-index

  3. Nuclear Fusion

    1 publications · 16 citations

    1

    h-index

  4. ACM SIGGRAPH Computer Graphics

    1 publications · 114 citations

    1

    h-index

  5. Optics Express

    1 publications · 29 citations

    1

    h-index

1–5