NDLI: A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle

Content Provider	IEEE Xplore Digital Library
Author	Little, G. Krishna, S. Black, J. Panchanathan, S.
Copyright Year	2005
Description	Author affiliation: Center for Cognitive Ubiquitous Comput., Arizona State Univ., Tempe, AZ, USA (Little, G.; Krishna, S.; Black, J.; Panchanathan, S.)
Abstract	In this paper, we present a methodology for precisely comparing the robustness of face recognition algorithms with respect to changes in pose angle and illumination angle. For this study, we have chosen four widely-used algorithms: two subspace analysis methods (principle component analysis (PCA) and linear discriminant analysis (LDA)) and two probabilistic learning methods (hidden Markov models (HMM) and Bayesian intra-personal classifier (BIC)). We compare the recognition robustness of these algorithms using a novel database (FacePix) that captures face images with a wide range of pose angles and illumination angles. We propose a method for deriving a robustness measure for each of these algorithms, with respect to pose and illumination angle changes. The results of this comparison indicate that the subspace methods perform more robustly than the probabilistic learning methods in the presence of pose and illumination angle changes.
Sponsorship	IEEE Signal Processing Soc
File Size	2035265
File Format	PDF
ISBN	0780388747
ISSN	15206149
DOI	10.1109/ICASSP.2005.1415348
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Face recognition Lighting Image databases Image recognition Algorithm design and analysis Linear discriminant analysis Learning systems Hidden Markov models Ubiquitous computing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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