摘要
人脸识别技术目前是生物特征识别中研究的热点之一,在商业、司法、监控和视频检索等领域有着广泛的应用前景。人脸特征的自动提取则是人脸自动识别过程中至关重要的环节。主要基于主成分分析PCA、线性差别分析LDA和非负矩阵分析NMF三种常用的子空间分析方法进行人脸特征提取的研究。
Currently,face recognition technology is still a hot topic in biometrics research,it has a wide range of applications in the business,justice,monitoring,video retrieval and other fields.Automatic extraction of facial features is a vital part of process in automatic face recognition.This article is based on principal component analysis PCA,linear discriminant analysis LDA and non-negative matrix factorization NMF,three commonly used subspace analysis methods for study of face feature extraction.
出处
《信息技术》
2011年第9期106-108,共3页
Information Technology
关键词
人脸自动识别
子空间
特征提取
automatic face recognition
subspace
feature extractio n
