Generalized Camera Models

Generalized Camera Models is a theoretical framework in computational photography that extends the pinhole camera model by unifying diverse imaging systems through a generalized mapping between 3D scene points and 2D image coordinates, allowing for non-perspective and multi-view projections.

36

Publications

2.4K

Citations

86

Authors

34

Institutions

Publications per year

2017–2026

8

Authors

86

  1. HA
    Hélder Araújo

    University of Coimbra, Portugal

    6 publications · 115 citations

    6

    h-index

  2. PM
    Pedro Miraldo

    University of Coimbra, Portugal

    6 publications · 115 citations

    6

    h-index

  3. HL
    Hongdong Li

    Australian National University, Australia

    2 publications · 197 citations

    2

    h-index

  4. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    2 publications · 219 citations

    2

    h-index

  5. RP
    Robert Pless

    Washington University in St. Louis, United States

    2 publications · 291 citations

    2

    h-index

1–5 of 86

Venues

  1. IEEE Transactions on Cybernetics

    2 publications · 39 citations

    2

    h-index

  2. Digital Signal Processing

    1 publications · 63 citations

    1

    h-index

  3. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 17 citations

    1

    h-index

  4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 1 publications · 32 citations

    1

    h-index

  5. IEEE Signal Processing Letters

    1 publications · 265 citations

    1

    h-index

1–5