Towards 3D hand tracking using a deformable model
作者： T. Heap , D. Hogg
关键词: Computer science 、 Tracking (particle physics) 、 Artificial intelligence 、 Point distribution model 、 Video camera 、 Computer vision 、 Workstation 、 Course (navigation) 、 Volume (computing) 、 Training set
摘要: In this paper we first describe how have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via physically-based model. We then show attempted to use model in tracking an unmarked hand moving with 6 degrees freedom (plus deformation) real time using single video camera. course improve on weighted least-squares pose parameter approximation at little computational cost. note successes and shortcomings our system discuss it might be improved.
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