Review: Sparse Representation for Face Recognition Application
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 5
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 highdimensional 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 detection problem is solved using sparse representation with the touch of compressive sensing theory. We consider sparsity based classification here.
Authors and Affiliations
Minakshi S. Nagmote
Keywords
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