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Karhunen-Loeve Transform of a Set of Rotated Templates
IEEE Trans. on Image Processing, 2003,
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.