Essential Matrix Estimation

Essential Matrix Estimation is the geometric inference process of determining the essential matrix—a 3×3 matrix encoding the relative rotation and translation between two calibrated camera views—from a set of corresponding image points, up to scale, in the context of multi-view geometry.

81

Publications

5.5K

Citations

203

Authors

97

Institutions

Publications per year

2017–2026

24

Authors

203

  1. DB
    Dániel Baráth

    Czech Technical University in Prague, Czechia

    5 publications · 547 citations

    5

    h-index

  2. ZC
    Zhaopeng Cui

    Zhejiang University, China

    4 publications · 245 citations

    4

    h-index

  3. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    4 publications · 271 citations

    4

    h-index

  4. KM
    Kwang Moo Yi

    University of Victoria, Canada

    3 publications · 607 citations

    3

    h-index

  5. FK
    Fredrik Kahl

    Lund University, Sweden

    3 publications · 165 citations

    3

    h-index

1–5 of 203

Venues

  1. 9

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 86 citations

    3

    h-index

  3. OpenGrey (Institut de l'Information Scientifique et Technique)

    Repository · 3 publications · 223 citations

    3

    h-index

  4. Journal of the Optical Society of America A

    2 publications · 97 citations

    2

    h-index

  5. Optical Engineering

    1 publications · 27 citations

    1

    h-index

1–5