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Killington, Vermont
Oct. 14, 1996 to Oct. 16, 1996
ISBN: 0-8186-7713-9
pp: 140
T. Heap , Sch. of Comput. Studies, Leeds Univ., UK
D. Hogg , Sch. of Comput. Studies, Leeds Univ., UK
ABSTRACT
In this paper we first describe how we have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via a physically-based model. We then show how we have attempted to use this model in tracking an unmarked hand moving with 6 degrees of freedom (plus deformation) in real time using a single video camera. In the course of this we show how to improve on a weighted least-squares pose parameter approximation at little computational cost. We note the successes and shortcomings of our system and discuss how it might be improved.
INDEX TERMS
tracking; 3D hand tracking; deformable model; Point Distribution Model; human hand; training data; weighted least-squares pose parameter; computational cost
CITATION
T. Heap, D. Hogg, "Towards 3D hand tracking using a deformable model", FG, 1996, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) 1996, pp. 140, doi:10.1109/AFGR.1996.557255
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