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Eigenconjugation: An Approach for Computing Image Similarity

  • V. Ortega-González
  • A. Angeles-Yreta
  • J. Medina-Apodaca
  • V. Landassuri-Moreno
  • J. Figueroa-Nazuno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)

Abstract

We introduce a method for computing similarity between two square matrices based on the information given by their eigenvalues and eigenvectors. The idea is to evaluate the effect of the conjugation of the original matrices and the eigenvectors and eigenvalues of each other. Then, we exemplify its utility for computing similarity between square images from a classified bank of pictures. The performance of the method is evaluated with diverse experiments.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • V. Ortega-González
    • 1
  • A. Angeles-Yreta
    • 1
  • J. Medina-Apodaca
    • 1
  • V. Landassuri-Moreno
    • 1
  • J. Figueroa-Nazuno
    • 1
  1. 1.Instituto Politécnico Nacional, Unidad Profesional “Adolfo López Mateos”Centro de Investigación en ComputaciónMéxico D.F.

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