Title :
Karhunen-Loeve expansion of a set of rotated templates
Author :
M. Jogan;E. Zagar;A. Leonardis
Author_Institution :
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia
Abstract :
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.
Keywords :
"Symmetric matrices","Covariance matrix","Matrix decomposition","Computer vision","Principal component analysis","Eigenvalues and eigenfunctions","Discrete cosine transforms","Linear approximation","Application software","Target recognition"
Journal_Title :
IEEE Transactions on Image Processing
DOI :
10.1109/TIP.2003.813141
