Karhunen-Loéve expansion of a set of rotated templates.

Jogan, Matjaz; Zagar, Emil; Leonardis, Ales · IEEE Trans Image Process · 2003

basic_science · Level V

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Abstract

In this paper, we propose a novel method for efficiently calculating the eigenvectors of uniformly rotated images of a set of templates. As we show, the images can be optimally approximated by a linear series of eigenvectors which can be calculated without actually decomposing the sample covariance matrix.