Metamorphic image registration using a semi-Lagrangian scheme
Computer Vision and Pattern Recognition
2021-06-17 v1
Abstract
In this paper, we propose an implementation of both Large Deformation Diffeomorphic Metric Mapping (LDDMM) and Metamorphosis image registration using a semi-Lagrangian scheme for geodesic shooting. We propose to solve both problems as an inexact matching providing a single and unifying cost function. We demonstrate that for image registration the use of a semi-Lagrangian scheme is more stable than a standard Eulerian scheme. Our GPU implementation is based on PyTorch, which greatly simplifies and accelerates the computations thanks to its powerful automatic differentiation engine. It will be freely available at https://github.com/antonfrancois/Demeter_metamorphosis.
Cite
@article{arxiv.2106.08817,
title = {Metamorphic image registration using a semi-Lagrangian scheme},
author = {Anton François and Pietro Gori and Joan Glaunès},
journal= {arXiv preprint arXiv:2106.08817},
year = {2021}
}
Comments
SEE GSI 2021