Motion Rescaling
Motion Rescaling is a computational method that adjusts the spatial or temporal scale of motion data while preserving its essential kinematic or dynamic characteristics, distinguishing it from related motion processing techniques by specifically targeting scale transformation in motion representation.
15
Publications
595
Citations
44
Authors
36
Institutions
Publications per year
2017–2026
4
Parents
15
1–5 of 15
44
2
h-index
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36
South Carolina State University
Orangeburg, United States
2 h-index
2 publications
129 citations
IBM (United States)
Armonk, United States
2 h-index
5 publications
133 citations
Executive Office of the President
Washington D.C., United States
1 h-index
1 publications
35 citations
ETH Zurich
Zurich, Switzerland
1 h-index
3 publications
51 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
12 citations
Los Alamos National Laboratory
Los Alamos, United States
1 h-index
1 publications
35 citations
Université de Tours
Tours, France
1 h-index
2 publications
24 citations
Walt Disney (Switzerland)
Zurich, Switzerland
1 h-index
2 publications
34 citations
1–8 of 36
PRL · 3 publications · 174 citations
3
h-index
2 publications · 129 citations
2
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BPC · 1 publications · 19 citations
1
h-index
1 publications · 21 citations
1
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1 publications · 17 citations
1
h-index
1–5