Volume 10, Issue 1
A Phase Field Based PDE Constrained Optimization Approach to Time Discrete Willmore Flow

Martina Franken, Martin Rumpf & Benedikt Wirth

DOI:

Int. J. Numer. Anal. Mod., 10 (2013), pp. 116-138.

Published online: 2013-10

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  • Abstract

A novel phase field model for Willmore ow is proposed based on a nested variational time discretization. Thereby, the mean curvature in the Willmore functional is replaced by an approximate speed of mean curvature motion, which is computed via a fully implicit variational model for time discrete mean curvature motion. The time discretization of Willmore ow is then performed in a nested fashion: in an outer variational approach a natural time discretization is setup for the actual Willmore ow, whereas for the involved mean curvature the above variational approximation is taken into account. Hence, in each time step a PDE-constrained optimization problem has to be solved in which the actual surface geometry as well as the geometry resulting from the implicit curvature motion time step are represented by phase field functions. The convergence behavior is experimentally validated and compared with rigorously proved convergence estimates for a simple linear model problem. Computational results in 2D and 3D underline the robustness of the new discretization, in particular for large time steps and in comparison with a semiimplicit convexity splitting scheme. Furthermore, the new model is applied as a minimization method for elastic functionals in image restoration.

  • Keywords

phase field approach Willmore flow image restoration PDE constrained optimization

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COPYRIGHT: © Global Science Press

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