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