Stereo Vision

Stereo Vision is a geometric vision technique that belongs to the category of depth perception methods, distinguished by its use of two or more spatially displaced cameras to infer three-dimensional scene structure from the disparity between corresponding image pairs.

10.4K

Publications

660.3K

Citations

21.4K

Authors

3.3K

Institutions

Publications per year

2017–2026

2.8K

Authors

21.4K

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    57 publications · 6.1K citations

    34

    h-index

  2. RS
    Richard Szeliski

    Microsoft (United States), United States

    38 publications · 11.8K citations

    31

    h-index

  3. LM
    Larry Matthies

    Jet Propulsion Laboratory, United States

    44 publications · 4.5K citations

    29

    h-index

  4. RY
    Ruigang Yang

    University of Kentucky, United States

    39 publications · 5.6K citations

    29

    h-index

  5. SN
    Sergiu Nedevschi

    Technical University of Cluj-Napoca, Romania

    53 publications · 2K citations

    27

    h-index

1–5 of 21.4K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 248 publications · 50.9K citations

    94

    h-index

  2. International Journal of Computer Vision

    108 publications · 21.4K citations

    60

    h-index

  3. Vision Research

    259 publications · 12K citations

    57

    h-index

  4. IEEE Transactions on Image Processing

    146 publications · 10.5K citations

    55

    h-index

  5. 47

    h-index

1–5