Head pose tracking using GPU based real-time 3D registration

The head pose tracking is one of the important criteria for improving the abilities of the human computer interactions and the human robot interactions. With the improvement of low cost consumer depth cameras lot of research attention attracted to the 3D based head pose estimation which is more accurate and robust to the environment conditions. In this paper we propose a head pose tracking method using a real-time 3D registration technique. In the experiment results we show that our method can handle larger pose variance accurately and robustly even without any kind of training or previous knowledge of the subject.