ALOP-Kolloquium: Improved Optimization Methods for Image Registration Problems

Im Rahmen des Kolloquiums des Graduiertenkollegs Algorithmic Optimization findet am

Montag, dem 26.02.2018
16:00 Uhr c.t.
Hörsaal 9

folgender Vortrag statt:

Improved Optimization Methods for Image Registration Problems
Prof. Dr. Geovani Grapiglia, Universidade Federal do Parana, Curitiba, Brasilien

In many applic ations, multiple images of the same subject are obtained at different moments in time and under different conditions. The goal is to identify changes in the subject over time. For a fair comparison, the images need to be aligned in order to overlap the com mon features. Image Registration is the problem to find the transformation of images leading to the best overlapping. The mathematical modelling of this type of problem often results in large - scale unconstrained optimization problems to solve. The usual ap proach is to apply Gauss - Newton Method with Armijo line - search embedded in a multi - level coarse - to - fine scheme, where the solution of the coarse level is used to generate the initial point for the fine level. In this talk, two alternative approaches will b e discussed, including the use of L - BFGS and subspace techniques.