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Reports Year : 2001

A Variational Approach to Multi-Modal Image Matching

Christophe Chefd'Hotel
  • Function : Author
Olivier Faugeras

Abstract

We address the problem of non-parametric multi-modal image matching. We propose a generic framework which relies on a global variational formulation and show its versatility through three different multi-modal registration methods : supervised registration by joint intensity learning, maximization of the mutual information and maximization of the correlation ratio. Regulariz- ation is performed by using a functional borrowed from linear elasticity theory. We also consider a geometry-driven regularization method. Experiments on synthetic images and preliminary results on the realignment of MRI datasets are presented.
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Dates and versions

inria-00072513 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00072513 , version 1

Cite

Gerardo Hermosillo, Christophe Chefd'Hotel, Olivier Faugeras. A Variational Approach to Multi-Modal Image Matching. RR-4117, INRIA. 2001. ⟨inria-00072513⟩
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