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Visual Scene Analysis

The visual scene analysis group conducts research in the field of mathematical image processing and computer vision with a special focus on the development of variational methods and differential inclusions for improving and analysing digital images. In this context we are interested in covex relaxations, functional lifting and multiscale methods as well as the development of efficient convex optimization algorithm for the solution of the corresponding energy minimization problems. Please visit our publications page to find out more about our recent research. 

In the winter semester 2016/17 we will teach an introductory master course to the variational methods that are the main tools of our research. Please visit our teaching page to find out more about this lecture.