NDLI: Face recognition based on collaborative image similarity assessment

Content Provider	IEEE Xplore Digital Library
Author	Deng-Yuan Huang Ta-Wei Lin Wu-Chih Hu Mu-Song Chen
Copyright Year	2012
Description	Author affiliation: Department of Computer Science & Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan (Wu-Chih Hu) \|\| Department of Electrical Engineering, Dayeh University, Changhua, Taiwan (Deng-Yuan Huang; Ta-Wei Lin; Mu-Song Chen)
Abstract	In this paper, we propose an innovative approach for face recognition based on collaborative image similarity assessment (CISA). In the proposed method, the test sample is first represented by a linear combination of all the training samples for each face class. The classification task is then conducted using the similarity measures including structure similarity index measure (SSIM), root mean square (RMS), and similarity assessment value (SAV). Since CISA is only one phase, it is computationally efficient when comparing with the method of two-phase test sample sparse representation (TPTSR). To verify the performance of face classification, two popular face databases of the ORL and FERET are used. Results show that CISA is comparable with TPTSR on the classification rates for ORL database. However, CISA greatly outperforms TPTSR on the evaluation of the FERET database. Moreover, only 276.4ms on an average is required for CISA in the classification of each test sample but it needs 800.8ms for TPTSR.
Starting Page	254
Ending Page	257
File Size	2488376
Page Count	4
File Format	PDF
ISBN	9781467325875
e-ISBN	9781467325882
DOI	10.1109/ISIC.2012.6449754
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-14
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Databases Collaboration Training Principal component analysis Measurement Face recognition sparse representation face recognition collaborative image image similarity assessment
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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