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.