title: Karhunen-Loéve expansion of a set of rotated templates.
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.
authors.affiliation: Faculty of Computer and Information Science, University of Ljubljana, SI-1001 Ljubljana, Slovenia. matjaz.jogan@fri.uni-lj.si
authors.forename: Matjaz
authors.initials: M
authors.lastname: Jogan
authors.forename: Emil
authors.initials: E
authors.lastname: Zagar
authors.forename: Ales
authors.initials: A
authors.lastname: Leonardis