Computational Stereo Matching

Computational Stereo Matching is a computational method in computer vision that belongs to the class of depth estimation techniques, specifically distinguished by its use of corresponding pixels from stereo image pairs to calculate depth information through geometric and photometric constraints.

33

Publications

3.7K

Citations

96

Authors

41

Institutions

Publications per year

2017–2026

7

Authors

96

  1. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    2 publications · 1.9K citations

    2

    h-index

  2. SA
    Steven A. Shafer

    Carnegie Mellon University, United States

    2 publications · 47 citations

    2

    h-index

  3. YX
    Yalin Xiong

    Carnegie Mellon University, United States

    2 publications · 47 citations

    2

    h-index

  4. JL
    Jun-Jae Lee

    Seoul National University, South Korea

    1 publications · 40 citations

    1

    h-index

  5. JA
    J. Anthony Movshon

    New York University, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 96

Venues

  1. International Journal of Computer Vision

    2 publications · 51 citations

    2

    h-index

  2. 2

    h-index

  3. Digital Library (University of West Bohemia)

    Repository · 1 publications · 38 citations

    1

    h-index

  4. 1

    h-index

  5. Sensors

    1 publications · 15 citations

    1

    h-index

1–5