Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data

Authors:
Łukasz Janik;Karol Jędrasiak;Konrad Wojciechowski;Andrzej Polański
Affiliations:
Institute of Computer Science, Silesian University of Technology, Gliwice, Poland;Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland;Institute of Computer Science, Silesian University of Technology, Gliwice, Poland,Polish-Japanese Institute of Information Technology, Bytom, Poland;Institute of Computer Science, Silesian University of Technology, Gliwice, Poland,Polish-Japanese Institute of Information Technology, Bytom, Poland
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

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Abstract

Currently, when Motion Capture being commonly used in gaming and movie industry there is a need of robust, easy and flexible solution to capture motion of non-humanoid characters in order to animate virtual characters in a game or movie. To fill this gap we developed an algorithm which estimates model of skeleton structure of both humanoid and non-humanoid characters. Quality and the possibility of real-life applications of the presented algorithm were experimentally evaluated. During the experiment we estimated the skeleton structure from the markers attached to a dog's skin. Quality of the resulting model is very promising.