Xiao, Z., Nait-Charif, H. and Zhang, J. J., 2009. Real time automatic skeleton and motion estimation for character animation. Computer Animation and Virtual Worlds, 20 (5-6), 523 -531.
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Official URL: http://www3.interscience.wiley.com/journal/1216754...
Motion capture is prevalent in the pipeline of realistic articulated character animation. To define accurate joint positions and joint orientations for the movement of a hierarchical human-like character without using a re-defined skeleton remains a challenge for motion capture studios. In this paper, we present a method for automatically estimating and determining the topology of a hierarchical human skeleton from optical motion capture data based on the human biomechanical information. Through the use of a novel per-frame based recursive method with joint angle minimization, human skeleton mapping from optical markers and joint angle estimation are achieved in real time.
|Subjects:||Generalities > Computer Science and Informatics|
|Group:||Media School > National Centre for Computer Animation|
|Deposited By:||Dr Hammadi Nait-Charif|
|Deposited On:||29 Apr 2010 11:44|
|Last Modified:||07 Mar 2013 15:26|
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