基于肤色和人脸特征的人眼定位方法

Research on Eyes Location Based on Skin-color and Face Characteristic

描述了一种能够对不同背景下彩色图像快速定位人眼的框架。首先,对图像进行光照补偿,然后,根据Ycbcr颜色空间肤色聚类的特点分割图像,检测人脸区域,并利用基于像素"密度"的滤波方法去除大面积的噪声。最后,利用人脸的结构特征和对称信息准确定位人眼。实验结果表明,该方法能够准确定位人眼,并且对于具有不同背景、带眼镜的、表情变化的图像都能有很好的鲁棒性。

This paper describes a framework that is capable of segmenting color archives images and locating eyes rapidly to the different background.Firstly,execute illumination compensation for images.Then,segment the image according to the skin-color＇s clustering characteristic in the YCbCr color space,and detect the face region,and use the pixel-based ＇density＇ of the filtering method to remove the noise of big area.Lastly,utilize the structural characteristic and symmetrical information of human face to locate the eyes accruately.Experimental results prove that this method could locate eyes exactly,and it is robust for the images with different background,bespectacled,as well as images existing expression changes.