基于子空间的人脸识别方法的分析与研究  

The Analysis and Research of Face Recognition Method Based on Subspace

作　　者：吕芳芳 LV Fang-fang(Suzhou Ninth People’s Hospital Information Department,Suzhou 215200,China)

机构地区：[1]苏州市第九人民医院信息处,江苏苏州215200

出　　处：《电脑知识与技术》2020年第33期185-186,194,共3页Computer Knowledge and Technology

摘　　要：人脸识别技术以其非入侵的优势已经在工作和生活的各领域中广泛应用,随着科技的进步,未来人脸识别的应用将更加普遍。近几十年来,研究者们提出了许多的人脸识别算法。分析和研究基于子空间的人脸表示以及人脸分类方法,通过重点介绍人脸分类的几种具有代表性的方法并总结其优缺点,来探讨未来人脸识别的研究方向。With its non-invasive advantages,face recognition technology has been widely used in various fields of work and life.With the progress of science and technology,the application of face recognition will become more common in the future.In recent decades,researchers have proposed many face recognition algorithms.Face representation and face classification methods based on subspace are analyzed and studied.Several representative methods of face classification are introduced and their advantages and disadvantages are summarized to discuss the future research direction of face recognition.

关 键 词：人脸表示 人脸分类 特征子空间 发展趋势 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]