提出了一种基于多模板匹配的一般环境图象中单人脸的检测方法。首先用双眼模板初步筛选，然后使用具有不同长宽比的多个人脸模板进行检测和定位，最后利用有脸器官的边缘特征进行确认。采用比固定比率压缩输入图象的方法解决不同尺度有脸的检测问题。实验表明这种方法具有较高的速度和检测成功率。

This paper develops a multi template matching based method for single face detection in general background images. Firstly two eyes in whole template is used for determining the potential location of the face roughly. Secondly 5 whole face templates with different width height ratios are used for searching and localization. Finally some edge features are used for verifying the detection results. Input image is resampled via constant ratio in order to deal with the problem of multi scale detection. Experiment results show that it is relatively fast and rather successful.