摘要
提出了一种基于人眼灰度信息的人脸识别算法。该算法首先根据眼球区域的灰度比它周围区域的灰度低,初步地筛选出可能含有人脸的图像,再把筛选出的图像分割成小图像块,根据图像块的复杂度对人两只眼睛的大概位置进行定位,最后采用居中法,进一步确定人眼的存在,进而确定人脸的确切位置。实验结果表明,文中提出的算法具有较高的检测正确率,同时具有较快的检测速度。
Advances an arithmetic about face location. Face location is an important basis for automatic human face recognition. In this paper,there are two steps to detect human face. The first, will find the picture which has the likelihood with human face, using the gray character information. The second, will use a method to look for the cemer of eyes. According to experiment,concludes that this arithmetic has a great efficiency and speed.
出处
《微机发展》
2005年第12期107-109,共3页
Microcomputer Development
基金
湖北省自然科学基金项目(2004ABA068)
关键词
人脸检测
灰度
居中法
automatic human face detection
gray information
center