Euclidean Reconstruction

Euclidean Reconstruction is a geometric reconstruction method that recovers the three-dimensional structure of a scene up to a similarity transformation, preserving Euclidean properties such as angles, distances, and parallelism, from multiple two-dimensional views by incorporating metric constraints derived from camera calibration or known scene geometry.

65

Publications

3.4K

Citations

138

Authors

81

Institutions

Publications per year

2017–2026

4

Variants

Metric Reconstruction

Authors

138

  1. AH
    Anders Heyden

    Lund University, Sweden

    5 publications · 486 citations

    5

    h-index

  2. KÅ
    Kalle Åström

    Lund University, Sweden

    4 publications · 557 citations

    4

    h-index

  3. YM
    Youcef Mezouar

    Institut Pascal, France

    3 publications · 166 citations

    3

    h-index

  4. RH
    Radu Horaud

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

    3 publications · 193 citations

    3

    h-index

  5. PM
    Philippe Martinet

    Centre National de la Recherche Scientifique, France

    3 publications · 166 citations

    3

    h-index

1–5 of 138

Venues

  1. 8

    h-index

  2. International Journal of Computer Vision

    2 publications · 50 citations

    2

    h-index

  3. Neurocomputing

    1 publications · 23 citations

    1

    h-index

  4. IEEE Transactions on Robotics and Automation

    1 publications · 29 citations

    1

    h-index

  5. Journal of Chromatographic Science

    JCS · 1 publications · 50 citations

    1

    h-index

1–5