Review: Sparse Representation for Face Recognition Application
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2013 by IJETT Journal | ||
| Volume-4 Issue-5 |
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| Year of Publication : 2013 | ||
| Authors : Minakshi S. Nagmote , Dr.Milind M. Mushrif |
Citation
Minakshi S. Nagmote , Dr.Milind M. Mushrif. "Review: Sparse Representation for Face Recognition Application". International Journal of Engineering Trends and Technology (IJETT). V4(5):1772-1775 May 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Abstract
In recent years, signal processing has come under pressure to accommodate the increasingly high - dimensional data generated by modern sensing systems. In many cases these high - dimensional signals contain relatively little information compared to their ambient dimensionality. Thus signals can often be well - approximated as a sparse linear combination of elements from a known basis or dictionary. Sparse models are exploited only after acquisition, typically for compression. In this paper we discuss how face detec tion problem is solved using sparse representation with the touch of compressive sensing theory. We consider sparsity based classification here.
References
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Keywords
Face Recognition, Sparse Representation, l 1 - minimization