单灰度图像中眼睛定位的人脸位置矫正算法

An Algorithm for Face Pose Adjustment Based on Gray-scale Static Images with a Single Face Eye Location

人脸位置的矫正作为人脸检测定位的一个环节，在计算机人脸识别中具有重要的意义。本文提出了一种基于单人脸灰度图像中眼睛定位的人脸位置矫正方法，用居中度使图像小块居中，用匹配度求取适些小图像块中的两块眼睛的小块，再在小范围内对鼻子、嘴巴部分进行水平灰度投影，然后进行扶正。实验结果表明，该方法对于双眼可见单人脸灰度图像能实现快速有效矫正，并能在矫正结果中精确给出双眼瞳孔位置。

Face pose adjustment, as a loop of human face location, is very important in computer face recognition. This paper presents a new approach to automatic face pose adjustment on gray-scale static images with a single face. In a 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. 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 result of experimentation shows 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.