NDLI: Scale-Space Decomposition and Nearest Linear Combination Based Approach for Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Hoque, F.A. Liang Chen
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Northern British Columbia, Prince George, BC, Canada (Hoque, F.A.; Liang Chen)
Abstract	Among many illumination robust approaches, scale-space decomposition based methods play an important role to reduce the lighting effects in face images. However, most of the existing scale-space decomposition methods perform recognition, based on the illumination-invariant small-scale features only. We propose a scale-space decomposition based face recognition approach that extracts the features of different scales through the $TV+L^{1}$ model and wavelet transform. The approach represents a subject's face image via a subspace spanned by linear combination of the features of different scales. To decide the proper identity of the probe, the nearest neighbor (NN) approach is used to measure the similarities between a probe face image and subspace representations of gallery face images. Experiments on various benchmarks have demonstrated that the system outperforms many recognition methods in the same category.
Starting Page	219
Ending Page	225
File Size	352993
Page Count	7
File Format	PDF
e-ISBN	9781479943371
DOI	10.1109/CRV.2014.37
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-06
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nearest Linear Combination TV Face recognition Lighting illumination variation Feature extraction TV+L1 Discrete wavelet transforms Face Probes
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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