Abstract
Identifying a precise anatomic skeleton is important in order to ensure high quality motion capture. In this paper we discuss two skeleton fitting techniques based on 3D optical marker data. First a local technique is proposed based on relative marker trajectories. Then it is compared to a global optimization of a skeleton model. Various proposals are made to handle the skin deformation problem. Index Terms—skeleton fitting, motion capture, optical markers.
Cite
CITATION STYLE
Silaghi, M. C., Plänkers, R., Boulic, R., Fua, P., & Thalmann, D. (1998). Local and global skeleton fitting techniques for optical motion capture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1537, pp. 26–40). Springer Verlag. https://doi.org/10.1007/3-540-49384-0_3
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