Multi-view Geometry

Multi-View Geometry is a branch of computational geometry that studies the three-dimensional spatial relationships and constraints among multiple two-dimensional projections of a scene captured from distinct viewpoints, enabling the reconstruction and understanding of scene structure through geometric invariants and camera motion.

10.7K

Publications

704K

Citations

22K

Authors

3.1K

Institutions

Publications per year

2017–2026

3.9K

Authors

22K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    105 publications · 8.4K citations

    47

    h-index

  2. RS
    Richard Szeliski

    Microsoft (United States), United States

    45 publications · 13.9K citations

    39

    h-index

  3. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    60 publications · 7.3K citations

    39

    h-index

  4. TP
    Tomáš Pajdla

    Czech Technical University in Prague, Czechia

    59 publications · 10K citations

    35

    h-index

  5. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    53 publications · 5.8K citations

    32

    h-index

1–5 of 22K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 456 publications · 85.5K citations

    127

    h-index

  2. International Journal of Computer Vision

    223 publications · 33.4K citations

    77

    h-index

  3. ACM Transactions on Graphics

    TOG · 86 publications · 11.3K citations

    56

    h-index

  4. IEEE Transactions on Image Processing

    149 publications · 8.5K citations

    49

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 142 publications · 10.4K citations

    46

    h-index

1–5