Variational Optical Flow

Variational Optical Flow is a method for estimating the motion field between two images by minimizing an energy functional that combines a data term enforcing brightness constancy with a regularization term preserving smoothness, thereby formulating optical flow computation as a variational optimization problem.

184

Publications

17.8K

Citations

418

Authors

199

Institutions

Publications per year

2017–2026

31

Authors

418

  1. JW
    Joachim Weickert

    Saarland University, Germany

    9 publications · 854 citations

    9

    h-index

  2. RC
    Remco C. Veltkamp

    Utrecht University, Netherlands

    6 publications · 281 citations

    6

    h-index

  3. TB
    Thomas Brox

    University of Freiburg, Germany

    6 publications · 5.4K citations

    6

    h-index

  4. ZT
    Zhigang Tu

    Wuhan University, China

    6 publications · 147 citations

    6

    h-index

  5. RP
    Ronald Poppe

    Utrecht University, Netherlands

    5 publications · 237 citations

    5

    h-index

1–5 of 418

Venues

  1. International Journal of Computer Vision

    11 publications · 2.2K citations

    10

    h-index

  2. IEEE Transactions on Image Processing

    9 publications · 593 citations

    9

    h-index

  3. Pattern Recognition

    8 publications · 281 citations

    8

    h-index

  4. Image and Vision Computing

    7 publications · 305 citations

    7

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 7 publications · 261 citations

    7

    h-index

1–5