Face identification using linear regression

Authors:
A. Imran Naseem;B. Roberto Togneri;C. Mohammed Bennamoun
Affiliations:
School of EECE, The University of Western Australia, WA, Australia;School of EECE, The University of Western Australia, WA, Australia;School of CSSE, The University of Western Australia, WA, Australia
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that patterns from a single object class lie on a linear subspace, we develop a linear model representing a probe image as a linear combination of class specific galleries. The inverse problem is solved using the least squares method and the decision is ruled in favor of the class with the minimum reconstruction error. The algorithm is extensively evaluated using two standard databases, a comparative study with the benchmark algorithms clearly reflects the efficacy of the proposed approach.