Stereo Correspondence Algorithms

Stereo Correspondence Algorithms is a computational method that identifies corresponding image points between left and right stereo views by minimizing disparity-induced mismatches, distinguishing itself from other image matching techniques through its explicit reliance on geometric epipolar constraints and photometric similarity within rectified stereo pairs.

450

Publications

38.4K

Citations

1.2K

Authors

417

Institutions

Publications per year

2017–2026

79

Authors

1.2K

  1. RA
    Rostam Affendi Hamzah

    Technical University of Malaysia Malacca, Malaysia

    11 publications · 582 citations

    10

    h-index

  2. MH
    Martin Humenberger

    Austrian Institute of Technology, Austria

    9 publications · 510 citations

    9

    h-index

  3. WK
    Wilfried Kubinger

    Austrian Institute of Technology, Austria

    6 publications · 385 citations

    6

    h-index

  4. OV
    Olga Veksler

    Western University, Canada

    6 publications · 863 citations

    6

    h-index

  5. AB
    Abdelaziz Bensrhair

    Institut National des Sciences Appliquées Rouen Normandie, France

    5 publications · 115 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 23 publications · 4.8K citations

    20

    h-index

  2. Pattern Recognition Letters

    10 publications · 367 citations

    10

    h-index

  3. 10

    h-index

  4. 10

    h-index

  5. Image and Vision Computing

    9 publications · 431 citations

    9

    h-index

1–5