Disparity Computation

Disparity Computation is a computational method within the domain of stereo vision that determines the pixel-wise correspondence differences between two rectified images from distinct viewpoints to estimate depth information.

1.3K

Publications

107.2K

Citations

3.2K

Authors

895

Institutions

Publications per year

2017–2026

321

Authors

3.2K

  1. RY
    Ruigang Yang

    University of Kentucky, United States

    12 publications · 2.7K citations

    12

    h-index

  2. MG
    Margrit Gelautz

    TU Wien, Austria

    12 publications · 1.9K citations

    12

    h-index

  3. ND
    Naim Dahnoun

    University of Bristol, United Kingdom

    11 publications · 321 citations

    11

    h-index

  4. TK
    Takeo Kanade

    Carnegie Mellon University, United States

    11 publications · 3.1K citations

    11

    h-index

  5. GL
    Gauthier Lafruit

    IMEC, Belgium

    10 publications · 772 citations

    10

    h-index

1–5 of 3.2K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 50 publications · 16.2K citations

    38

    h-index

  2. 31

    h-index

  3. arXiv (Cornell University)

    Repository · 32 publications · 2.3K citations

    19

    h-index

  4. IEEE Transactions on Image Processing

    26 publications · 1.1K citations

    18

    h-index

  5. Vision Research

    27 publications · 1K citations

    18

    h-index

1–5