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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 summer semester 2017 we will teach a master course on convex optimization for computer vision. Optimization is a quite exciting field. Having a thorough understanding of the algorithms that work for convex functions provides a good basis even for nonconvex optimization. Even more importantly, optimization is needed everywhere - not just in computer vision!