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
Parents
444
1–5 of 444
1.3K
8
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Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany
5 publications · 83 citations
5
h-index
1–5 of 1.3K
479
Technische Universität Berlin
Berlin, Germany
10 h-index
33 publications
507 citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
20 publications
614 citations

National Taiwan University
Taipei, Taiwan
8 h-index
23 publications
1.4K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
8 h-index
17 publications
897 citations
Simon Fraser University
Burnaby, Canada
8 h-index
16 publications
1K citations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Berlin, Germany
8 h-index
28 publications
1.6K citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
8 h-index
16 publications
964 citations
University of Washington
Seattle, United States
8 h-index
12 publications
770 citations
1–8 of 479
34 publications · 2.6K citations
25
h-index
25 publications · 1.7K citations
18
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17 publications · 1.1K citations
15
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19 publications · 379 citations
12
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11 publications · 969 citations
11
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1–5