Correspondence Problem

The Correspondence Problem is a fundamental challenge in stereo vision that consists in identifying the set of corresponding points in two or more images of the same scene taken from different viewpoints, such that differences in pixel locations can be used to compute depth through triangulation.

1.3K

Publications

101.1K

Citations

2.8K

Authors

876

Institutions

Publications per year

2017–2026

187

Authors

2.8K

  1. ER
    Emanuele Rodolà

    Sapienza University of Rome, Italy

    13 publications · 1K citations

    12

    h-index

  2. MM
    Michael M. Bronstein

    Università della Svizzera italiana, Switzerland

    12 publications · 927 citations

    11

    h-index

  3. DC
    Daniel Cremers

    Technical University of Munich, Germany

    12 publications · 648 citations

    11

    h-index

  4. TP
    Tomáš Pajdla

    Czech Technical University in Prague, Czechia

    10 publications · 1.7K citations

    10

    h-index

  5. MO
    Maks Ovsjanikov

    Laboratoire d'Informatique de l'École Polytechnique, France

    10 publications · 550 citations

    10

    h-index

1–5 of 2.8K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 102 publications · 24.9K citations

    58

    h-index

  2. Pattern Recognition

    42 publications · 2.8K citations

    24

    h-index

  3. International Journal of Computer Vision

    23 publications · 2.3K citations

    19

    h-index

  4. Image and Vision Computing

    21 publications · 957 citations

    18

    h-index

  5. Computer Graphics Forum

    18 publications · 1.6K citations

    17

    h-index

1–5