NDLI: Face Recognition Based on Complementary Matching of Single Image and Sequential Images

Content Provider	IEEE Xplore Digital Library
Author	Yea-Shuan Huang Wei-Cheng Liu
Copyright Year	2009
Abstract	This paper presents a robust face recognition method which two highly discriminating algorithms (CMSM and GDA) to recognize human faces. CMSM (Constraint Mutual Subspace Method) constructs a class subspace for each person and makes the relation between class subspaces by projecting them onto a generalized difference subspace so that the canonical angles between subspaces are enlarged to approach to the orthogonal relation. GDA (Generalized Discriminant Analysis) adopts kernel function operator to make it easy to extend and generalize the classical Linear Discriminant Analysis to a non linear one. Both CMSM and GDA are effective to recognize human faces, however, CMSM constructs a subspace from several face images and GDA needs only one face image to perform recognition. Obviously, these two methods inherently have different properties and abilities of recognition so that we combine them together. Experimental results show that the proposed method can achieve good recognition accuracy.
Starting Page	673
Ending Page	676
File Size	392355
Page Count	4
File Format	PDF
ISBN	9781424447176
DOI	10.1109/IIH-MSP.2009.212
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Image recognition Face recognition Subspace constraints Signal processing algorithms Humans Linear discriminant analysis Pattern recognition Pattern matching Principal component analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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