Model-Based Head Pose Estimation


Axel Weissenfeld, Onay Urfalioglu, Kang Liu, Joern Ostermann (UHANN)

A model-based head motion estimation algorithm is designed. Algorithm estimates the head pose due to tracking feature points. Large out-of-plane rotations lead to pose errors, if feature points are not updated. We propose a new strategy for an automatic update of feature points.