Real Time Head Pose Tracking with Online Face Template Reconstruction
We propose a real time method to accurately track the human head pose in the 3 dimensional (3D) world. Using a RGB Depth camera, a face template is reconstructed by fitting a 3D morphable face model, and the head pose is determined by registering this user specific face template to the input depth video.
IEEE Transactions on Pattern Analysis and Machine Intelligence