We propose an approach for eye corner location based on weighted variance projection function(WVPF). The rough positions of eye corners are first detected using Haar like features by Adaboost. Then

the weighted variance projection is designed by assigning the corner response function of Harris corner detector as our weight factor. Owing to the existence of both peaks of eye corner position at the projection curves of WVPF in horizontal and vertical directions

the eye corner positions are located by analysis of peaks of WVPF. Testing results on BioID face database show that our approach obtains high accuracy and low computation complexity.