Publication | Closed Access
A Multilevel Method for Image Registration
121
Citations
15
References
2006
Year
Numerical AnalysisEngineeringBiometricsConsistent DiscretizationMulti-resolution MethodNumerical ComputationImage AnalysisMultilevel Continuation TechniquePattern RecognitionImage RegistrationComputational GeometryComputational AnatomyGeometric ModelingImage FormationMachine VisionInverse ProblemsImage StitchingMultilevel MethodMedical Image ComputingDeformation ReconstructionComputer VisionNatural Sciences
In this paper we introduce a new framework for image registration. Our formulation is based on consistent discretization of the optimization problem coupled with a multigrid solution of the linear system which evolves in a Gauss--Newton iteration. We show that our discretization is h-elliptic independent of parameter choice, and therefore a simple multigrid implementation can be used. To overcome potential large nonlinearities and to further speed up computation, we use a multilevel continuation technique. We demonstrate the efficiency of our method on a realistic highly nonlinear registration problem.
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