Global Motion Estimation

Global Motion Estimation is a computational technique in image stabilization that models the dominant motion transformation across an entire image frame to distinguish camera-induced global motion from local motion caused by scene content or object movement.

444

Publications

20.5K

Citations

1.3K

Authors

479

Institutions

Publications per year

2017–2026

70

Variants

Gme

Authors

1.3K

  1. AK
    Andreas Krutz

    Technische Universität Berlin, Germany

    8 publications · 125 citations

    8

    h-index

  2. TS
    Thomas Sikora

    Technische Universität Berlin, Germany

    8 publications · 125 citations

    8

    h-index

  3. ZC
    Zhaopeng Cui

    Zhejiang University, China

    5 publications · 305 citations

    5

    h-index

  4. TL
    Timothy Ledgeway

    University of Nottingham, United Kingdom

    5 publications · 401 citations

    5

    h-index

  5. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    5 publications · 83 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. 25

    h-index

  2. Vision Research

    25 publications · 1.7K citations

    18

    h-index

  3. IEEE Transactions on Consumer Electronics

    17 publications · 1.1K citations

    15

    h-index

  4. 12

    h-index

  5. IEEE Transactions on Image Processing

    11 publications · 969 citations

    11

    h-index

1–5