【摘要】 针对传统的投影方法在人眼定位时易受光照干扰以及难以获得精准的人眼中心点的问题,提出一种基于多尺度自商图和改进的积分投影法的人眼定位算法.首先利用多尺度自商图消除人脸图像的光照影响;然后分析眼睛在水平方向上灰度分布的特点,采用两个行梯度算子对积分投影法进行了改进,以提升眼睛区域特征并初步定位人眼区域;接着采用Sobel算子对人眼区域进行滤波得到人眼滤波图,并对人眼滤波图的垂直积分投影曲线进行高斯函数拟合,根据拟合结果分割出左眼窗口和右眼窗口;最后,计算左眼窗口和右眼窗口的尺寸,获取左眼窗口和右眼窗口的中心点,即为人眼中心点.在YaleB人脸数据库和JAFFE人脸数据库上测试表明,本文方法对复杂光照、人脸边缘以及人脸表情适应性强,可以获得较为精准的人眼中心点.更多还原

【Abstract】 To tackle the problems of the illumination interference and difficulty in capturing accurate eye center points during the human eye location by the traditional projection method, this study proposes a human eye location algorithm based on multi-scale self-quotient images with an improved integral projection method. Firstly, multi-scale self-quotient images are used to eliminate the illumination effect on the face image. Secondly, depending on the gray distribution characteristics of eyes in the horizontal direction, the integral projection method is improved with two row gradient operators to intensify eye region features and preliminarily locate the eye region. Thirdly, the eye filter image is generated after the eye region is filtered with the Sobel operator, whose vertical integral projection curve is then subjected to fitting by the Gaussian function. According to the fitting results, the left and right eye windows are segmented and, finally, their dimensions are calculated to determine the respective center point, namely the human eye center point. The tests on the YaleB face database and JAFFE face database show that the proposed method has strong adaptability to complex illumination, face edge, and face expression and can accurately locate human eye center points.更多还原