Research of face recognition based on null space kernel discriminant analysis

In view of problem that method of null space linear discriminant analysis is difficult to reveal nonlinear structure of data of face image space, the paper proposed a method of null space kernel discriminant analysis. It introduced derivation process and solving steps of the method in details. Test...

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Main Authors: CHENG Ting-ting, WANG Hong-dong, DING Lei
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2013-12-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.12.021
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author CHENG Ting-ting
WANG Hong-dong
DING Lei
author_facet CHENG Ting-ting
WANG Hong-dong
DING Lei
author_sort CHENG Ting-ting
collection DOAJ
description In view of problem that method of null space linear discriminant analysis is difficult to reveal nonlinear structure of data of face image space, the paper proposed a method of null space kernel discriminant analysis. It introduced derivation process and solving steps of the method in details. Test result shows that the method can extract null space of scatter matrix within class in kernel space and remove null space of scatter matrix inter classes to the utmost extent, the new extracted feature can be used to make face recognition effectively.
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spelling doaj.art-871934646403451793d522795c5874da2023-03-17T01:52:41ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2013-12-013912869010.7526/j.issn.1671-251X.2013.12.021Research of face recognition based on null space kernel discriminant analysisCHENG Ting-ting0WANG Hong-dong1DING Lei2Internet of Things (Perception Mine) Research Center, China University of Mining and Technology, Xuzhou, 221008, ChinaSchool of Information and Electrical Engineering, China University of MiningSchool of Information and Electrical Engineering, China University of MiningIn view of problem that method of null space linear discriminant analysis is difficult to reveal nonlinear structure of data of face image space, the paper proposed a method of null space kernel discriminant analysis. It introduced derivation process and solving steps of the method in details. Test result shows that the method can extract null space of scatter matrix within class in kernel space and remove null space of scatter matrix inter classes to the utmost extent, the new extracted feature can be used to make face recognition effectively.http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.12.021face recognitionnull space linear discriminant analysisnull space kernel discriminant analysisfeature extractio
spellingShingle CHENG Ting-ting
WANG Hong-dong
DING Lei
Research of face recognition based on null space kernel discriminant analysis
Gong-kuang zidonghua
face recognition
null space linear discriminant analysis
null space kernel discriminant analysis
feature extractio
title Research of face recognition based on null space kernel discriminant analysis
title_full Research of face recognition based on null space kernel discriminant analysis
title_fullStr Research of face recognition based on null space kernel discriminant analysis
title_full_unstemmed Research of face recognition based on null space kernel discriminant analysis
title_short Research of face recognition based on null space kernel discriminant analysis
title_sort research of face recognition based on null space kernel discriminant analysis
topic face recognition
null space linear discriminant analysis
null space kernel discriminant analysis
feature extractio
url http://www.gkzdh.cn/article/doi/10.7526/j.issn.1671-251X.2013.12.021
work_keys_str_mv AT chengtingting researchoffacerecognitionbasedonnullspacekerneldiscriminantanalysis
AT wanghongdong researchoffacerecognitionbasedonnullspacekerneldiscriminantanalysis
AT dinglei researchoffacerecognitionbasedonnullspacekerneldiscriminantanalysis