2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (1996)
Oct. 14, 1996 to Oct. 16, 1996
T. Heap , Sch. of Comput. Studies, Leeds Univ., UK
D. Hogg , Sch. of Comput. Studies, Leeds Univ., UK
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.
tracking; 3D hand tracking; deformable model; Point Distribution Model; human hand; training data; weighted least-squares pose parameter; computational cost
T. Heap, D. Hogg, "Towards 3D hand tracking using a deformable model", 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), vol. 00, no. , pp. 140, 1996, doi:10.1109/AFGR.1996.557255