CS700:Graduate Seminar in Computer Science & Informatics

An overview of numerical methods for image registration

In this talk we introduce the topic of image registration and discuss its applications. We review classical numerical methods to match different images and discuss the challenges of solving the problem. In particular, we introduce the idea of adaptive multilevel refinement as a method for the solution of the problem. We demonstrate that this approach can lead to a significant computational saving that enable us to work on future problems.
Eldad Haber is Associate Professor of Mathematics and Computer Science at Emory University. His research interest is in computational aspects of inverse problems, computational methods for PDE's with application to electromagnetics, and numerical optimization.