摘要
提出一种自动定位人脸关键特征点的方法。选取人脸图像中两眼球中点、各内外眼角点、鼻唇中点和两嘴角点作为9个关键特征点,利用SUSAN算子提取边缘和定位两眼内外角点,并与方向积分投影等方法结合,可以快速准确地获得特征点位置。实验结果表明,该方法能自动定位人脸各关键特征点,平均定位准确率在95%以上。该方法将有助于人脸特征的自动提取和提高人脸识别算法的识别率,虽然是针对固定大小图像(336×480)进行的,但方法本身并不受图像大小的约束;该方法对绝大多数灰度正面人脸图像特征点都能准确地自动定位,即使小角度旋转人脸也取得较好的定位效果,但目前对大角度旋转人脸仍有一定局限。
An approach is proposed to locate the 9 vital feature points on faces automatically. By using SUSAN operator to extract the corner points and combined with directional integral projection, it provides a feasible way of locating the two irises, near and far eye's corners, midpoint of nostrils and mouth corners on face images exactly. Experiments show that this method can locate the feature points quickly and get an average accuracy over 95%. It would help to extract the useful features on faces automatically and improve the accuracy of face recognition, and the scales of images are not restricted. This approach can automatically locate the feature points with high accuracy as for most front-view face images, even for small rotation face images, but it is still limited in the large rotation faces with reducing of accuracy.
出处
《光电子．激光》
EI
CAS
CSCD
北大核心
2004年第8期975-979,共5页
Journal of Optoelectronics·Laser
基金
"十五"国家科技攻关计划重点资助项目(2001BA801B07)
