Dense Optical Flow

Dense Optical Flow is a type of optical flow computation that estimates the motion vector for every pixel in an image, distinguishing itself from sparse approaches by providing a comprehensive, pixel-level velocity field across the entire visual frame.

354

Publications

36.9K

Citations

1K

Authors

423

Institutions

Publications per year

2017–2026

147

Authors

1K

  1. CS
    Cordelia Schmid

    Institut national de recherche en sciences et technologies du numérique, France

    6 publications · 7.6K citations

    6

    h-index

  2. MJ
    Michael J. Black

    Max Planck Institute for Intelligent Systems, Germany

    5 publications · 403 citations

    5

    h-index

  3. TB
    Thomas Brox

    University of Freiburg, Germany

    5 publications · 1.9K citations

    5

    h-index

  4. SR
    Stefan Roth

    Technische Universität Darmstadt, Germany

    5 publications · 1.1K citations

    5

    h-index

  5. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    5 publications · 207 citations

    5

    h-index

1–5 of 1K

Venues

  1. arXiv (Cornell University)

    Repository · 17 publications · 5.8K citations

    13

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 13 publications · 3.3K citations

    13

    h-index

  3. IEEE Transactions on Image Processing

    12 publications · 839 citations

    12

    h-index

  4. IEEE Access

    10 publications · 487 citations

    10

    h-index

  5. Sensors

    7 publications · 997 citations

    7

    h-index

1–5