Motion Smoothing
Motion Smoothing is a computational method in motion capture that reduces noise and irregularities in skeletal or marker-based motion data by applying temporal filters or optimization techniques to produce more natural and continuous motion trajectories.
126
Publications
6.6K
Citations
354
Authors
163
Institutions
Publications per year
2017–2026
23
Parents
126
Armin Bruderlin, Lance R. Williams · 1995 · 660 citations
Bundled camera paths for video stabilization
Shuaicheng Liu, Lu Yuan, Ping Tan et al. · ACM Transactions on Graphics · 2013 · 351 citations
Computing, Media Arts, 3D Modeling +16
Feng Liu, Michael Gleicher, Jue Wang et al. · ACM Transactions on Graphics · 2011 · 318 citations
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163
The University of Texas at Austin
Austin, United States
5 h-index
7 publications
254 citations
Pohang University of Science and Technology
Pohang, South Korea
4 h-index
12 publications
600 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
12 publications
177 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
5 publications
259 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
6 publications
183 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
290 citations
Stanford University
Stanford, United States
3 h-index
8 publications
480 citations
Seoul National University
Seoul, South Korea
3 h-index
6 publications
149 citations
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6 publications · 255 citations
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4 publications · 282 citations
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TOG · 4 publications · 935 citations
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3 publications · 59 citations
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3 publications · 132 citations
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