Stereo Matching

Stereo Matching is a computational method in stereo vision that identifies corresponding pixels between two rectified images captured from offset viewpoints to compute disparity maps for depth estimation and scene understanding.

2.4K

Publications

168.9K

Citations

5.7K

Authors

1.3K

Institutions

Publications per year

2017–2026

686

Authors

5.7K

  1. SM
    Stefano Mattoccia

    University of Bologna, Italy

    21 publications · 1.5K citations

    18

    h-index

  2. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    19 publications · 2K citations

    16

    h-index

  3. RY
    Ruigang Yang

    University of Kentucky, United States

    17 publications · 3.4K citations

    16

    h-index

  4. MG
    Margrit Gelautz

    TU Wien, Austria

    17 publications · 2.3K citations

    16

    h-index

  5. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    15 publications · 4.4K citations

    15

    h-index

1–5 of 5.7K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 101 publications · 27K citations

    61

    h-index

  2. 30

    h-index

  3. IEEE Transactions on Image Processing

    51 publications · 3K citations

    29

    h-index

  4. arXiv (Cornell University)

    Repository · 65 publications · 3.4K citations

    27

    h-index

  5. International Journal of Computer Vision

    27 publications · 9.4K citations

    21

    h-index

1–5