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Morphing of Manifold-Valued Images inspired by Discrete Geodesics in Image Spaces

2017/10/06 by Neumayer, Sebastian, Persch, Johannes, Steidl, Gabriele · 1 citation
#Differential Geometry (math.DG) #FOS: Mathematics #Numerical Analysis (math.NA)

paper · doi:10.48550/arxiv.1710.02289

Abstract

This paper addresses the morphing of manifold-valued images based on the time discrete geodesic paths model of Berkels, Effland and Rumpf 2015. Although for our manifold-valued setting such an interpretation of the energy functional is not available so far, the model is interesting on its own. We prove the existence of a minimizing sequence within the set of L2(Ω,H) images having values in a finite dimensional Hadamard manifold H together with a minimizing sequence of admissible diffeomorphisms. To this end, we show that the continuous manifold-valued functions are dense in L2(Ω,H). We propose a space discrete model based on a finite difference approach on staggered grids, where we focus on the linearized elastic potential in the regularizing term. The numerical minimization alternates between i) the computation of a deformation sequence between given images via the parallel solution of certain registration problems for manifold-valued images, and ii) the computation of an image sequence with fixed first (template) and last (reference) frame based on a given sequence of deformations via the solution of a system of equations arising from the corresponding Euler-Lagrange equation. Numerical examples give a proof of the concept of our ideas.

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