Marker Placement Optimization
Marker Placement Optimization is a computational method within motion capture that systematically determines the optimal configuration of markers on the body to maximize tracking accuracy and minimize marker occlusion or redundancy.
28
Publications
1.2K
Citations
154
Authors
70
Institutions
Publications per year
2017–2026
8
Parents
28
1–5 of 28
154
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 154
70
Stanford University
Stanford, United States
2 h-index
10 publications
360 citations
Jožef Stefan Institute
Ljubljana, Slovenia
2 h-index
2 publications
45 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
110 citations

University of Maribor
Maribor, Slovenia
2 h-index
2 publications
45 citations
Institute of Automation
Beijing, China
1 h-index
3 publications
90 citations
Murdoch Children's Research Institute
Melbourne, Australia
1 h-index
4 publications
192 citations
Yale University
New Haven, United States
1 h-index
4 publications
272 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
1 h-index
3 publications
36 citations
1–8 of 70
5 publications · 137 citations
5
h-index
TVCG · 3 publications · 102 citations
3
h-index
3 publications · 120 citations
3
h-index
2 publications · 42 citations
2
h-index
2 publications · 25 citations
2
h-index
1–5