一种近红外图像中人眼定位的方法

A method for eye localization in infrared images

针对在可见光中人脸检测受光照影响的问题,提出基于Adaboost的近红外光人脸检测与人眼定位算法。首先使用基于Haar特征的Adaboost算法得到人脸区域,通过统计大量的人眼相对人脸位置的分布确定人眼待测区域。为了减少亮瞳与非亮瞳以及左右眼的差异影响,使用亮瞳、非亮瞳、左眼、右眼检测器,然后再用Haar特征的Adaboost算法在人眼待测区域进行人眼定位。实验结果表明,该方法的准确率高,速度快,达到实时性的要求。

In view of the problem of face detection in visible light, a novel method for face detection and eye localization algorithm in infrared images based on Adaboost was p tion based on Haar feature ured is determined by the and Adaboost distribution of algorithm is used for locating ropo the sed in this paper. Face detec- face area. The eye to be meas- large number of human eyes relative to the face. In order to dealwith the difference between the bright pupil and the non bright pupil and the left and right eyes, detector separate into four parts, bright pupil eye detector, thenon bright pupil eye detector, left and right eye de- rector. Experimental results show that this method is capable of achieving high accuracy, fast and real - time performance.