Geodesic shooting and diffeomorphic matching via textured meshes

  • Authors:
  • Stéphanie Allassonnière;Alain Trouvé;Laurent Younes

  • Affiliations:
  • LAGA, Institut Galilée, University Paris 13, France;CMLA, Ecole Normale Supérieure, Cachan, France;CIS, Johns Hopkins University, Baltimore, MD

  • 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

We propose a new approach in the context of diffeomorphic image matching with free boundaries. A region of interest is triangulated over a template, which is considered as a grey level textured mesh. A diffeomorphic transformation is then approximated by the piecewise affine deformation driven by the displacements of the vertices of the triangles. This provides a finite dimensional, landmark-type, reduction for this dense image comparison problem. Based on an optimal control model, we analyze and compare two optimization methods formulated in terms of the initial momentum: direct optimization by gradient descent, or root-finding for the transversality equation, enhanced by a preconditioning of the Jacobian. We finally provide a series of numerical experiments on digit and face matching.