基于灰度直方图的几何特征人眼定位方法

An Eyes Location Algorithm Based on Gray Histogram and Geometrical Features

在定位人脸的基础上,采用一种新颖的方法计算人脸二值化阈值,根据灰度直方图信息进行一次计算便可得到分割阈值,打破了现有算法对二值化阈值需做多次调整的约束。截取二值人眼区域之后,利用图像尺寸归一化几何约束条件定位人眼。实验结果表明该算法在多种复杂条件下均能成功定位人眼,具有更加快捷的特点。

We adopt a new method to calculate threshold for human face image. This method can get threshold only after one calculation, and it changes the actuality that threshold should be adjusted many times before achieving a good result. After cropping eye area from binary, face image, we use image-size normalization geometrical conditions to detect eyes. Experimental results show that this algorithm can detect eyes in different complex conditions very fast.