Single-Sample Face Recognition Based on Intra-Class Differences in a Variation Model

In this paper, a novel random facial variation modeling system for sparse representation face recognition is presented. Although recently Sparse Representation-Based Classification (SRC) has represented a breakthrough in the field of face recognition due to its good performance and robustness, there...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Jun Cai, Jing Chen, Xing Liang
Format:	Article
Language:	English
Published:	MDPI AG 2015-01-01
Subjects:	intra-class variation model differences face recognition sparse representation
Online Access:	http://www.mdpi.com/1424-8220/15/1/1071