A new method is proposed for face pose estimation based on the area ratio in the paper. First

the change of triangle area ratio which consist of feature points is analyzed when a face turns. Then

the BP neural network is applied to train the relationship between position parameters of area ratio of face and the parameters of pose for face pose estimation. Finally

the method is applied to roam in the virtual environment. The experimental results demonstrate that this method can estimate accurately pose using only few characteristic points

and also does well in recognition rate and stability.