摘要
人脸特征的定位是计算机人脸识别中必需的一步 .该文提出了一种在彩色图象中进行人脸部特征定位的新方法 .该方法只取彩色图象中的红色成分作为研究对象 ,以简化处理及提高信噪比 ;首先利用对原图的垂直灰度投影曲线确定脸的左右边界 ,并分离出此区域的高低灰度图 ,以便分图定位脸部特征 ;接着利用对经边缘检测的高灰度图的水平灰度投影确定下颌、嘴、鼻、眼的垂直位置 ,然后在相应位置附近 ,对鼻、眼、嘴依此进行准确定位 .算法最后的输出为人眼的位置、鼻端的位置及鼻宽、嘴的位置及嘴宽和下颌的垂直位置 .大量实验表明 。
Facial features localization is very important in face recognition by machine. In this paper a novel method which performs main facial features localization in color information is put forward. It utilizes only red component of the color image to simplify processing cost and improve SNR, segments high gray level region and low gray level region in order to localize facial features in segmented regions, first localizes the vertical position of chin, mouth, nose, and eyes with gray level projection, then localizes the horizontal position of them in associated vertical positions. In this method, nose is first localized to aid other features' localization. The output of this method is positions of eyes, position of nose tip and width of nose, position of mouth and width of mouth, and position of chin. Computer simulation shows that this algorithm has high accuracy and good robustness.
出处
《中国图象图形学报（A辑）》
CSCD
2000年第2期138-143,共6页
Journal of Image and Graphics
关键词
边缘检测
脸部特征定位
计算机人脸识别
Edge detection, Vertical gray level projection, Horizontal gray level projection, Valid peak, Hough transform
