Title :
Towards 3D hand tracking using a deformable model
Author :
Heap, Tony ; Hogg, David
Author_Institution :
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
Keywords :
computer vision; image recognition; tracking; 3D hand tracking; Point Distribution Model; computational cost; deformable model; human hand; training data; weighted least-squares pose parameter; Cameras; Computational efficiency; Deformable models; Distributed computing; Humans; Image edge detection; Physics computing; Tracking; Training data; Workstations;
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
DOI :
10.1109/AFGR.1996.557255
