Funding for Research Training Group for Computational Image Analysis
12 May 2014
After a successful evaluation, the “Spatio/Temporal Probabilistic Graphical Models and Applications in Image Analysis” Research Training Group (RTG) at the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University will continue its work for a second funding period. The German Research Foundation (DFG) has renewed its support of RTG 1653 for four-and-a-half years with funding of approx. 5 million euros. This will allow another twelve young researchers to work on their doctoral projects in the field of “Spatio/Temporal Graphical Models and Applications in Image Analysis” from October 2014.
Probabilistic graphical models provide a framework for mathematical modelling and the design of computational methods for analysing empirical data in many areas of application. In addition to basic problems in mathematical statistics and optimisation, the Heidelberg Research Training Group is particularly focused on problems in computational image analysis. Main areas of interest include computer vision (object recognition, video analysis) and image processing problems in the biosciences and medicine. A working group of ten Heidelberg mathematicians, physicists and computer scientists are responsible for advising the research group.
“With the continuation of this project, the German Research Foundation pays tribute to the importance of mathematical statistics and scientific computing in basic application-oriented research as well as to Heidelberg University as an internationally recognised research location in the field of image processing,” said group spokesperson Prof. Dr. Christoph Schnörr of the Institute of Applied Mathematics. Schnörr elaborated that continued funding also reflects the DFG’s high regard for the excellent doctoral training offered at the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, with which the Research Training Group is associated.