摘要
针对人脸识别中的特征提取问题,提出了一种快速准确的眼角自动定位方法。在人脸图像中自动定位两眼的眼球和内外眼角的精确位置,定位准确率达到98%以上。该方法为脸部关键特征点的自动提取和人脸识别奠定了良好的基础,有助于提高人脸识别算法的识别率。并将定位结果应用到人脸图像的预处理,提出以两眼外眼角为基准进行几何归一化校正,与通常的利用两眼瞳距作为基准的方法相比较,更加准确和稳定。
A fast and exact approach is presented to extract the corners of eyes on human faces automatically. It can locate the positions of eyes with its near and far corners exactly with over 98% accuracy. And it provises the basis of extracting the vital feature points on human face automatically and improves the accuracy of face recognition. Then, applying the results to the pretreatment of the face images, a method using the distance of two far corners of eyes to normalize the face images is presented. It could get more exacter and steadier outcomes than the method commonly using the distance of two irises.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第4期375-379,共5页
Infrared and Laser Engineering
基金
国家重点攻关资助项目(2001BA801B07)
关键词
人脸识别
特征提取
SUSAN算子
眼角定位
图像预处理
Biological organs
Biomedical engineering
Electronics engineering
Eye movements
Feature extraction
Imaging techniques
