Physical Camera Models

Physical Camera Models is a computational framework that simulates the image formation process by mathematically modeling the optical, geometric, and photoelectric characteristics of real-world camera systems based on physical principles.

199

Publications

16.6K

Citations

574

Authors

242

Institutions

Publications per year

2017–2026

31

Authors

574

  1. PS
    Peter Sturm

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 253 citations

    4

    h-index

  2. SR
    Stuart Robson

    University College London, United Kingdom

    3 publications · 41 citations

    3

    h-index

  3. RG
    Reg G. Willson

    Carnegie Mellon University, United States

    3 publications · 222 citations

    3

    h-index

  4. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    3 publications · 203 citations

    3

    h-index

  5. JY
    Jingyi Yu

    ShanghaiTech University, China

    3 publications · 61 citations

    3

    h-index

1–5 of 574

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 10 publications · 1.9K citations

    10

    h-index

  2. 9

    h-index

  3. International Journal of Computer Vision

    4 publications · 1.1K citations

    4

    h-index

  4. 4

    h-index

  5. Pattern Recognition

    3 publications · 73 citations

    3

    h-index

1–5