NDLI: Face recognition method by using large and representative datasets

Content Provider	IEEE Xplore Digital Library
Author	Zhao Tongzhou Wang Yanli Wang Haihui Gao Sheng Song Hongxian
Copyright Year	2009
Description	Author affiliation: School of Computer Science & Engineering, Wuhan Institute of Technology, 430073, China (Zhao Tongzhou; Wang Yanli; Wang Haihui; Gao Sheng; Song Hongxian)
Abstract	A face recognition method by using large and representative datasets is presented in this paper. The importance of research on face recognition is fueled by both its scientific challenges and its potential applications. In this contribution, we proposes several approaches to deal with some of the difficulties that one encounters when trying to recognize frontal faces in unconstrained domains and when only one sample per class is available to the learning system. It is possible for an automatic recognition system to compensate for imprecisely localized, partially expression variant faces even when only one single training sample per class is available. Finally, we have shown that the results of an appearance-based approach totally depend on the differences that exist between the facial expressions displayed on the learning and testing images.
Starting Page	5059
Ending Page	5062
File Size	216142
Page Count	4
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5194964
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Data engineering Pattern recognition Data mining Face Recognition Learning systems Computer science Pattern Recognition Lighting Feature extraction Representative Datasets Principal Component Analysis Pixel 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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