An algorithm for face pose adjustment based on gray-scale static image

Face pose adjustment, as a loop of human face location, is very important in computer face recognition. In this paper, we present 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 make every little image, then ask for one piece of image including two eyes using match degree. And continue the nose and mouth part horizontal gray projection in small scope. Finally adjust this piece correctly. In 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 experimentations show that the algorithm performs very well both in terms of rate and of efficiency. What's more, due to the precise location of eyes, the apples of the eyes are detected.