Study of an algorithm for face pose adjustment based on eye location

Face pose adjustment, as a loop of human face location, is very important in computer face recognition. This work presents a new approach to automatic face pose adjustment on gray-scale static images with a single face. In the first stage, with the degree of mediacy every little image is made, then one piece of image including two eyes using match degree is asked. It is continued with the nose and mouth part horizontal gray projection in small scope. Finally adjust this piece correctly. During the second stage, based on the location and the symmetry feature of eyes, the inclination angle is calculated and the face position is redressed. The experiment shows that the algorithm performs very well both in terms of rate and of efficiency. Due to the precise cation of eyes, the apples of the eyes are detected.