Optical Flow

Optical Flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and the scene, represented as a two-dimensional vector field that describes the velocity of pixel intensity changes over time in a sequence of images.

9.5K

Publications

717.6K

Citations

22.3K

Authors

3.8K

Institutions

Publications per year

2017–2026

3K

Authors

22.3K

  1. MJ
    Michael J. Black

    Max Planck Institute for Intelligent Systems, Germany

    29 publications · 8.7K citations

    24

    h-index

  2. EJ
    Eric Jumper

    University of Notre Dame, United States

    49 publications · 1.8K citations

    24

    h-index

  3. CS
    Cordelia Schmid

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

    23 publications · 11.8K citations

    23

    h-index

  4. SG
    Stanislav Gordeyev

    University of Notre Dame, United States

    36 publications · 1.5K citations

    23

    h-index

  5. DC
    Daniel Cremers

    Technical University of Munich, Germany

    25 publications · 9.6K citations

    21

    h-index

1–5 of 22.3K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 192 publications · 45.8K citations

    84

    h-index

  2. Experiments in Fluids

    296 publications · 21.4K citations

    70

    h-index

  3. IEEE Transactions on Image Processing

    160 publications · 11.6K citations

    58

    h-index

  4. International Journal of Computer Vision

    106 publications · 23.2K citations

    58

    h-index

  5. arXiv (Cornell University)

    Repository · 279 publications · 21.5K citations

    50

    h-index

1–5