Sparse Stereo Matching

Sparse Stereo Matching is a stereo correspondence method that identifies matching points between stereo images at a limited set of spatially distributed locations, distinguishing itself from dense approaches by focusing on computationally efficient, feature-based disparity estimation rather than pixel-level completeness.

36

Publications

4.5K

Citations

116

Authors

56

Institutions

Publications per year

2017–2026

15

Authors

116

  1. KM
    Kwang Moo Yi

    University of Victoria, Canada

    2 publications · 596 citations

    2

    h-index

  2. JD
    Joris Dik

    Delft University of Technology, Netherlands

    2 publications · 32 citations

    2

    h-index

  3. VL
    Vincent Lepetit

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 596 citations

    2

    h-index

  4. ET
    Eduard Trulls

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 596 citations

    2

    h-index

  5. PJ
    Pieter Jonker

    Delft University of Technology, Netherlands

    2 publications · 32 citations

    2

    h-index

1–5 of 116

Venues

  1. 3

    h-index

  2. Pattern Recognition

    2 publications · 67 citations

    2

    h-index

  3. 2

    h-index

  4. Remote Sensing

    1 publications · 31 citations

    1

    h-index

  5. IEEE Transactions on Medical Imaging

    1 publications · 28 citations

    1

    h-index

1–5