Two-frame Optical Flow

Two-Frame Optical Flow is a computational method in computer vision that estimates the motion of pixels or features between two consecutive image frames by analyzing spatial intensity variations and temporal changes under the assumption of small, smooth displacement.

40

Publications

9.4K

Citations

121

Authors

55

Institutions

Publications per year

2017–2026

10

Authors

121

  1. KS
    Karen Simonyan

    Google (United States), United States

    2 publications · 6.8K citations

    2

    h-index

  2. HZ
    Huangying Zhan

    The University of Adelaide, Australia

    2 publications · 193 citations

    2

    h-index

  3. JB
    Jia-Wang Bian

    The University of Adelaide, Australia

    2 publications · 193 citations

    2

    h-index

  4. CS
    Chamara Saroj Weerasekera

    The University of Adelaide, Australia

    2 publications · 193 citations

    2

    h-index

  5. JO
    J. Oliensis

    Princeton University, United States

    2 publications · 35 citations

    2

    h-index

1–5 of 121

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 5.4K citations

    5

    h-index

  2. Optics Express

    2 publications · 32 citations

    2

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 121 citations

    2

    h-index

  4. 2

    h-index

  5. Machine Vision and Applications

    1 publications · 20 citations

    1

    h-index

1–5