文章基本信息

标题：SPARSE REPRESENTATION THEORY AND ITS APPLICATION FOR FACE RECOGNITION
本地全文：下载
作者：Yongjiao Wang ; Chuan Wang ; Lei Liang 等
期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2015
卷号：8
期号：1
页码：107-124
出版社：Massey University
摘要：Face recognition aims at endowing computers with the ability to identify different humanbeings according to their face images. However, recognition rate will decrease sharply when it refers tothe non-ideal imaging environments or the incorporation of users, such as illumination, pose,expression variations and so on. Besides, it will be also influence the recognition results when thedatabase is too large or small. Sparse representation based classification for face images has been oneof efficient approaches for face recognition in recent years. Discrimination performance by using thesparse representation can also be applied to the face recognition, and any test sample can be expressedas a linear span of the all training samples. Experimental results show that face recognition methodbased on sparse representation is comparable to others.
关键词：Face recognition; recognition rate; non-ideal imaging environments; sparse representation