Intrinsic Parameter Estimation

Intrinsic Parameter Estimation is a methodological process in camera simulation that identifies the internal characteristics of a camera, such as focal length, optical center, and lens distortion, by mathematically deriving the transformation from 3D world coordinates to 2D image coordinates through a calibrated geometric model.

270

Publications

15.8K

Citations

670

Authors

315

Institutions

Publications per year

2017–2026

46

Variants

Camera Intrinsic Calibration

Authors

670

  1. KS
    Khalid Satori

    Sidi Mohamed Ben Abdellah University, Morocco

    8 publications · 182 citations

    8

    h-index

  2. AS
    Abderrahim Saaidi

    Sidi Mohamed Ben Abdellah University, Morocco

    8 publications · 182 citations

    8

    h-index

  3. PS
    Peter Sturm

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

    6 publications · 761 citations

    6

    h-index

  4. AH
    Anders Heyden

    Lund University, Sweden

    6 publications · 331 citations

    6

    h-index

  5. YL
    Youfu Li

    City University of Hong Kong, Hong Kong SAR China

    6 publications · 113 citations

    6

    h-index

1–5 of 670

Venues

  1. 15

    h-index

  2. Pattern Recognition

    8 publications · 429 citations

    8

    h-index

  3. Optics Express

    7 publications · 249 citations

    7

    h-index

  4. Journal of the Optical Society of America A

    6 publications · 231 citations

    5

    h-index

  5. Image and Vision Computing

    4 publications · 85 citations

    4

    h-index

1–5