International Journal of Computer Vision
Diffeomorphisms Groups and Pattern Matching in Image Analysis
International Journal of Computer Vision
Variational problems and partial differential equations on implicit surfaces
Journal of Computational Physics
A Level-Set Based Approach to Image Registration
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Landmark Matching via Large Deformation Diffeomorphisms on the Sphere
Journal of Mathematical Imaging and Vision
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
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Image transport is at the heart of large deformation registration algorithms and level set methods. Here we propose to extend this concept to solve alignment and correspondence problems for images defined on general geometries. Our approach builds upon the framework proposed by Bertalmio et al. [1] for solving PDEs on implicit surfaces. The registration process is defined by a system of transport equations and is driven by the gradient of a similarity functional. The transformation is regularized using a nonlinear heat equation. Compared to recent developments for image registration on manifolds [4], the implicit representation of the image domain allows us to deal easily with arbitrary surfaces. We illustrate the potential of this technique with several synthetic experiments.