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Kernel-Based Non-linear Template Matching

  • Barend J. van Wyk
  • Michaël A. van Wyk
  • Guillaume Noel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3138)

Abstract

A new non-linear minimum norm template matching technique is introduced. Similar to the theory of Support Vector Machines the proposed framework is also based on Reproducing Kernel Hilbert Space principles. Promising results when applied to aerial image matching are reported and future work is highlighted.

Keywords

Support Vector Machine Input Image Reference Image Template Match Linear Kernel 
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 2004

Authors and Affiliations

  • Barend J. van Wyk
    • 1
  • Michaël A. van Wyk
    • 1
  • Guillaume Noel
    • 1
  1. 1.French South-African Technical Institute in ElectronicsTshwane University of TechnologyPretoriaSouth Africa

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