A Variational Approach to Multi-Modal Image Matching

Authors:
Christophe Chefd'Hotel;Gerardo Hermosillo;Olivier Faugeras
Affiliations:
-;-;-
Venue:
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Year:
2001

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Abstract

INRIAAbstract: 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. Regularization 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.