Dense Motion Estimation

Dense Motion Estimation is a motion estimation method that computes motion vectors for every pixel in an image, distinguishing itself from sparse approaches by providing a complete, pixel-level correspondence field between consecutive frames.

194

Publications

14.6K

Citations

604

Authors

281

Institutions

Publications per year

2017–2026

46

Authors

604

  1. ÉM
    Étienne Mémin

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    4 publications · 711 citations

    4

    h-index

  2. PP
    Patrick Pérez

    Technicolor (France), France

    3 publications · 419 citations

    3

    h-index

  3. SR
    Susanna Ricco

    Duke University, United States

    3 publications · 396 citations

    3

    h-index

  4. RT
    R. Todd Constable

    Yale University, United States

    3 publications · 338 citations

    3

    h-index

  5. TC
    Thomas Corpetti

    Littoral, Environnement, Télédétection, Géomatique, France

    3 publications · 444 citations

    3

    h-index

1–5 of 604

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 12 publications · 2.2K citations

    12

    h-index

  2. IEEE Transactions on Image Processing

    10 publications · 938 citations

    10

    h-index

  3. 9

    h-index

  4. IEEE Transactions on Medical Imaging

    5 publications · 475 citations

    5

    h-index

  5. arXiv (Cornell University)

    Repository · 4 publications · 443 citations

    4

    h-index

1–5