Technical University of Munich

https://sites.google.com/site/michaelmoellermath/

This semester I will offer a lecture on "Convex Optimization for Computer Vision".

Also, students are more than welcome to contact me regarding final theses, IDPs, or guided research projects.

My previous lecture on Nonlinear Multiscale Methods for Image and Signal Processing can here.

I am interested in mathematical models in image processing and computer vision. My main focus lies on variational methods with non-smooth regularization terms, like the total variation and the ell^1 norm, as well as on efficient algorithms for determining their minimizers. One particular type of approach I am interested in are multi scale methods arising from Bregman iteration and its continuous limit, the inverse scale space flow.

After spending a total time of two years as a visiting researcher at the University of California, Los Angeles, UCLA, during which I worked with Prof. Andrea Bertozzi and Prof. Stanley Osher, I graduated with a doctoral degree in mathematics from the University of Muenster under the mentorship of Prof. Dr. Martin Burger. From September 2012 to March 2014 I worked in the image science group at the Arnold & Richter Cine Technik GmbH & Co. Betriebs KG (ARRI, www.arri.com), Munich, Germany. In April 2014, I returned to academia and joined the Computer Vision Group of Prof. Dr. Daniel Cremers as a Postdoctoral researcher.