Geodesic image matching: a wavelet based energy minimization scheme

  • Authors:
  • Laurent Garcin;Laurent Younes

  • Affiliations:
  • Laboratoire MATIS, Institut Géographique National;Center for Imaging Science, Department of Appplied Mathematics and Statistics, Johns Hopkins University

  • Venue:
  • EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
  • Year:
  • 2005

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Abstract

In this paper, we first detail the geodesic matching of images which consists in minimizing an energy resulting from a Riemannian metric on a manifold of images, which itself comes from the projection of a Riemannian metric on a deformation group onto the image manifold. We will then present an energy minimization technique based on a wavelet analysis of the deformation and finally some applications with face images and 3D medical data.