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. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Janik, Ł., Jedrasiak, K., Wojciechowski, K., & Polański, A. (2012). Application of a hybrid algorithm for non-humanoid skeleton model estimation from motion capture data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7594 LNCS, pp. 95–104). Springer Verlag. https://doi.org/10.1007/978-3-642-33564-8_12
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