Physics-based Motion Capture
Physics-Based Motion Capture is a motion capture methodology that incorporates physical laws and dynamic simulation to generate or refine human or object motion data by enforcing biomechanical and environmental constraints within a computational model.
26
Publications
2.1K
Citations
86
Authors
33
Institutions
Publications per year
2017–2026
13
Parents
26
Innovative Uses of Video Analysis
Douglas R. Brown, Anne J. Cox · The Physics Teacher · 2009 · 288 citations
Dynamic response for motion capture animation
Victor Zordan, Anna Majkowska, Bill Chiu et al. · ACM Transactions on Graphics · 2005 · 241 citations
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal et al. · 2023 · 191 citations
Computing, Computer Science, Physics +15
SimulCap : Single-View Human Performance Capture With Cloth Simulation
Tao Yu, Zerong Zheng, Yuan Zhong et al. · 2019 · 110 citations
1–5 of 26
86
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2
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2
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2
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33

University of Toronto
Toronto, Canada
4 h-index
9 publications
959 citations
University of California, Riverside
Riverside, United States
2 h-index
8 publications
1.1K citations
University of Washington
Seattle, United States
2 h-index
4 publications
750 citations
Nvidia (United Kingdom)
Reading, United Kingdom
2 h-index
9 publications
681 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
89 citations
Intel (United Kingdom)
Swindon, United Kingdom
1 h-index
4 publications
64 citations

Universidad Nacional de Educación a Distancia
Madrid, Spain
1 h-index
1 publications
17 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
16 citations
1–8 of 33
TOG · 5 publications · 840 citations
5
h-index
3 publications · 325 citations
3
h-index
1 publications · 15 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5