Two-Dimensional optimal transform for appearance based object recognition

Authors:
B. H. Shekar;D. S. Guru;P. Nagabhushan
Affiliations:
Department of Computer Science, Mangalore University, Mangalagangotri, Mangalore, Karnataka, India;Department of Studies in Computer Science, University of Mysore, Manasagangotri, Mysore, Karnataka, India;Department of Studies in Computer Science, University of Mysore, Manasagangotri, Mysore, Karnataka, India
Venue:
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Year:
2006

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Abstract

This paper proposes a new method of feature extraction called two-dimensional optimal transform (2D-OPT) useful for appearance based object recognition. The 2D-OPT method provides a better discrimination power between classes by maximizing the distance between class centers. We first argue that the proposed 2D-OPT method works in the row direction of images and subsequently we propose an alternate 2D-OPT which works in the column direction of images. To straighten out the problem of massive memory requirements of the 2D-OPT method and as well the alternate 2D-OPT method, we introduce bi-projection 2D-OPT. The introduced bi-projection 2D-OPT method has the advantage of higher recognition rate, lesser memory requirements and better computing performance than the standard PCA/2D-PCA/Generalized 2D-PCA method, and the same has been revealed through extensive experimentations conducted on COIL-20 dataset and AT&T face dataset.