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A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics

  • Anne Jorstad
  • David Jacobs
  • Alain Trouvé
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7575)

Abstract

We present a fast image comparison algorithm for handling variations in illumination and moderate amounts of deformation using an efficient geodesic framework. As the geodesic is the shortest path between two images on a manifold, it is a natural choice to use the length of the geodesic to determine the image similarity. Distances on the manifold are defined by a metric that is insensitive to changes in scene lighting. This metric is described in the wavelet domain where it is able to handle moderate amounts of deformation, and can be calculated extremely fast (less than 3ms per image comparison). We demonstrate the similarity between our method and the illumination insensitivity achieved by the Gradient Direction. Strong results are presented on the AR Face Database.

Keywords

Face Recognition Gradient Direction Image Gradient Wavelet Domain Geodesic Curve 
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 2012

Authors and Affiliations

  • Anne Jorstad
    • 1
  • David Jacobs
    • 1
  • Alain Trouvé
    • 2
  1. 1.University of MarylandCollege ParkUSA
  2. 2.Ecole Normale Supérieure de CachanFrance

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