摘要
图像中人脸的自动定位和提取是进行人脸识别的首要条件。文章提出了一种基于光流场的复杂背景下人脸定位方法。通过改进的光流场约束方程与帧间差法的结合,确定运动人脸的所在区域。并对所在区域进行图像的操作和处理,提取出人脸图像,最后采用基于Karhunen-Loeve变换的人脸识别技术进行识别。该方法具有快速和准确的特点。
It is very important for human face recognition to find the face automatically in a scene.In this paper,a method to locate human face in a complex background is proposed.The moving face's position can be pointed out bases on the combination of revised definition of optical flow and inter-frame difference.Then the face can be extracted by image processing.In the end,the face is recognized by the method based on Karhunen-Loeve Variation.The method has the feature of accuracy and high speed.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第8期68-70,73,共4页
Computer Engineering and Applications
基金
国家教委高等学校骨干教师资助计划资助项目
关键词
光流场
人脸定位
人脸识别
Optical flow,Face detection,Face recognition
