提出了一种基于加权方差投影函数(WVPF )的眼角定位方法。该方法利用Haar like 特征训练级联分类器，定位眼角的粗略位置。同时，采用Harris角点检测中的角点响应函数作为加权因子函数，构建了加权方差投影函数。考虑到眼角的角点特征，眼角位置在眼角区域内的水平加权方差投影曲线和垂直加权方差投影曲线中都有峰值，可通过对加权方差投影曲线的分析对眼角细定位。实验结果表明，该方法在BioID人脸库中对眼角定位表现良好，计算复杂度低。

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.