摘要
提出了一种新的复杂背景下的人脸检测方法。首先,根据图象的灰度直方图,把图象分割成若干个子图象区域,然后分别在这些子图象区域中搜索可能的人脸,进行全局特征-奇异值特征的提取,最后根据特征匹配检验的结果作出决策。
This paper presents a novel method of face detection in complex background. First, The image is divided into several subimages based on the modes of its global histogram; then every possible face in the subimages is found according to some rules; and lastly the decision is made on the basis of the hypothesis test of the distribution of the SVD feature.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2000年第2期53-55,共3页
Computer Engineering
基金
国家自然科学基金
关键词
人脸检测
奇异值分解
人脸识别
模式识别
Face detection
Singular value decomposition(SVD)
Face recognition
Pattern recognition