Feature-based Stabilization

Feature-Based Stabilization is a video stabilization method that belongs to the class of image stabilization techniques and is distinguished by its reliance on detecting and tracking salient visual features across frames to estimate and compensate for unwanted motion.

41

Publications

1.3K

Citations

131

Authors

54

Institutions

Publications per year

2017–2026

13

Authors

131

  1. MJ
    Myung Jin Chung

    Samsung Medical Center, South Korea

    3 publications · 63 citations

    3

    h-index

  2. YG
    Yeon Geol Ryu

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 63 citations

    3

    h-index

  3. CT
    Chih-Chung Tsai

    National Taiwan University, Taiwan

    2 publications · 30 citations

    2

    h-index

  4. LC
    Liang‐Gee Chen

    National Taiwan University, Taiwan

    2 publications · 30 citations

    2

    h-index

  5. QL
    Qiang Ling

    University of Science and Technology of China, China

    2 publications · 42 citations

    2

    h-index

1–5 of 131

Venues

  1. 4

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  2. IEEE Transactions on Consumer Electronics

    4 publications · 204 citations

    4

    h-index

  3. Proceedings

    IV · 1 publications · 87 citations

    1

    h-index

  4. IET Computer Vision

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5