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The Log-polar Image Representation in Pattern Recognition Tasks

  • V. Javier Traver
  • Filiberto Pla
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2652)

Abstract

This paper is a review of works about the use of the log-polar image model for pattern recognition purposes. Particular attention is paid to the rotation- and scale-invariant pattern recognition problem, which is simplified by the log-polar mapping. In spite of this advantage, ordinary translations become a complicated image transform in the log-polar domain. Two approaches addressing the estimation of translation, rotation and scaling are compared. One of them, developed by the authors, takes advantage of the principles of the active vision paradigm.

Keywords

Active Vision Object Recognition Task Pattern Recognition Task Handwritten Numeral Cartesian Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • V. Javier Traver
    • 1
  • Filiberto Pla
    • 1
  1. 1.Dep. de Llenguatges i Sistemes InformàticsUniversitat Jaume ICastellóSpain

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