Camera Models

Camera Models is a mathematical framework in digital rendering that formally describes the geometric and optical behavior of a camera by specifying the mapping between three-dimensional world coordinates and two-dimensional image coordinates, distinguishing it from other rendering components through its focus on projection, lens, and sensor characteristics.

4.4K

Publications

273.3K

Citations

10.5K

Authors

2K

Institutions

Publications per year

2017–2026

1K

Authors

10.5K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    64 publications · 6.8K citations

    39

    h-index

  2. TP
    Tomáš Pajdla

    Czech Technical University in Prague, Czechia

    35 publications · 2.3K citations

    27

    h-index

  3. PS
    Peter Sturm

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

    44 publications · 2.7K citations

    27

    h-index

  4. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    28 publications · 4.2K citations

    20

    h-index

  5. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    25 publications · 1.7K citations

    19

    h-index

1–5 of 10.5K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 146 publications · 41.7K citations

    73

    h-index

  2. ACM Transactions on Graphics

    TOG · 48 publications · 10.5K citations

    40

    h-index

  3. International Journal of Computer Vision

    77 publications · 12.7K citations

    40

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 74 publications · 3.5K citations

    33

    h-index

  5. Pattern Recognition

    71 publications · 3.2K citations

    31

    h-index

1–5