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Description:: We propose a new paradigm for vision-based human motion capture. This paradigm extends the traditional capture of poses by providing guarantees of physical plausibility for …
Year:: 2013
Contributor:: Vondrak, Marek (creator); Jenkins, Odest (Director); Sigal, Leonid (Reader); Hodgins, Jessica (Reader); Fleet, David (Reader); Hays, James (Reader); Brown University. Computer Science (sponsor)
Genre:: theses
Subject:: motion capture; control; physics-based characters; physical simulation; controller estimation; optimal control; Computer vision
Language:: English
Collection:: Computer Science; Theses and Dissertations

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