Motion Data Cleanup
Motion Data Cleanup is a post-processing methodology in motion capture performance that refines raw motion data by identifying and correcting errors, noise, and artifacts to produce accurate, consistent, and usable skeletal trajectories for animation or analysis.
9
Publications
527
Citations
35
Authors
15
Institutions
Publications per year
2017–2026
6
Variants
Motion Data Cleaning
Parents
9
Footskate cleanup for motion capture editing
Lucas Kovar, Michael Gleicher · 2002 · 204 citations
Isa Conradsen, Sándor Beniczky, Peter Wolf et al. · Computer Methods and Programs in Biomedicine · 2011 · 52 citations · Full text
Self‐similarity Analysis for Motion Capture Cleaning
Andreas Aristidou, Daniel Cohen‐Or, Jessica K. Hodgins et al. · Computer Graphics Forum · 2018 · 33 citations
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15
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
438 citations

Hefei University of Technology
Hefei, China
1 h-index
4 publications
96 citations

University of Minnesota
Minneapolis, United States
1 h-index
2 publications
30 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
33 citations

Beijing Technology and Business University
Beijing, China
1 h-index
1 publications
34 citations

Seattle Children's Hospital
Seattle, United States
1 h-index
1 publications
15 citations
Reichman University
Herzliya, Israel
1 h-index
2 publications
66 citations

Tel Aviv University
Tel Aviv, Israel
1 h-index
1 publications
33 citations
1–8 of 15
IJCARS · 1 publications · 15 citations
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1 publications · 34 citations
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1 publications · 24 citations
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1 publications · 33 citations
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1 publications · 52 citations
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