• DocumentCode
    3784873
  • 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
  • Volume
    12
  • Issue
    7
  • fYear
    2003
  • Firstpage
    817
  • Lastpage
    825
  • 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
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2003.813141
  • Filename
    1212657
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3784873