Journal article

Two-Dimensional Whitening of Face Images for Improved PCA Performance

Abd-Krim Seghouane, Navid Shokouhi

IEEE SIGNAL PROCESSING LETTERS | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2018

Abstract

We address the problem of two-dimensional (2-D) whitening of face image matrices. The proposed method whitens the distribution of rows and columns of an image matrix. The main contribution of this letter is to investigate some aspects of recently published studies on this topic. We point out that existing methods on 2-D whitening for face recognition overlook the rows as potential random vectors, implying that the image matrix is only a collection of independent identically distributed column vectors. This study shows that this one-sided whitening approach relies on an incorrect assumption for image data. We show that one-sided whitening replaces the covariance matrix along one dimension wit..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

This work was supported by the Australian Research Council under Grant FT 130101394. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Joao Paulo Papa.