Stereo Correspondence

Stereo Correspondence is a computational problem in computer vision that involves identifying corresponding points in two or more images taken from different viewpoints, distinguishing itself by establishing geometric relationships between disparity and depth in binocular stereo imaging.

1.7K

Publications

117.8K

Citations

4K

Authors

1K

Institutions

Publications per year

2017–2026

370

Authors

4K

  1. DS
    Daniel Scharstein

    Middlebury College, United States

    12 publications · 11.8K citations

    12

    h-index

  2. RS
    Richard Szeliski

    Microsoft (United States), United States

    12 publications · 3.8K citations

    12

    h-index

  3. MO
    Masatoshi Okutomi

    Tokyo Institute of Technology, Japan

    12 publications · 2.4K citations

    12

    h-index

  4. RA
    Rostam Affendi Hamzah

    Technical University of Malaysia Malacca, Malaysia

    12 publications · 654 citations

    11

    h-index

  5. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    11 publications · 987 citations

    11

    h-index

1–5 of 4K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 74 publications · 15.5K citations

    50

    h-index

  2. Image and Vision Computing

    35 publications · 5.3K citations

    22

    h-index

  3. International Journal of Computer Vision

    27 publications · 9.6K citations

    21

    h-index

  4. Pattern Recognition Letters

    30 publications · 934 citations

    19

    h-index

  5. Pattern Recognition

    28 publications · 889 citations

    19

    h-index

1–5