摘要
眼睛定位是人脸生物特征识别的重要组成部分。提出了一种快速、高效的人眼定位方法,该方法先用基于Haar-like特征的AdaBoost级联分类器检测出人脸块,粗定位左、右眉眼区域,采用改进的灰度投影法分别将两块区域中的眉毛部分分离掉,最后分别将左右眼区域分割成若干小图像块,联合图像块灰度均值、复杂度和结构居中度等信息精确定位人眼。该方法在中科院人脸库CAS-PEAL的Normal子库上表现优异,取得了约99%的定位正确率。实验结果表明,该方法速度快,定位效果好。
Eyes localization is an important part of human face biometrics.A fast and effective automatic position approach of the human eyes is introduced.It detects face blocks using the AdaBoost cascade classifier based on Haar-like features,and marks out the rough areas of left and right eye-eyebrow regions.The Improved Projection Function（IPF） is applied to separate the eyebrows from the eye regions.The two eye regions are devided into a number of small image blocks respectively.The accurately positions of eyes are defined after using a united method based on the mean,complexity and the structure central measurement.This method gets a good performance about 99.1% of correct positioning in the Normal sub-library of the CAS-PEAL face database.The experimental results show that it’s a fast and effective eyes localization method.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第7期183-186,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.60573058~~
