|Prof. Dr. Daniel Cremers|
Technical University Munich
Variational Methods and Convex Relaxation Techniques for Computer Vision
Numerous computer vision problems can be solved by variational methods and partial differential equations. In my presentation, I will show how problems like image segmentation, stereo and 3D reconstruction can be formulated as variational problems. Subsequently, I will introduce methods of convex relaxation and functional lifting which allow to compute globally optimal or near-optimal solutions. Experimental results demonstrate that these spatially continuous approaches provide numerous advantages over spatially discrete (graph cut) formulations, in particular they are easily parallelized (lower runtime), they require less memory (higher resolution) and they do not suffer from metrication errors (better accuracy).
|Prof. Dr.-Ing. Marcus Magnor|
Computer Graphics Lab
Computer Graphics 2.0 - The Virtual World is not Enough
Expectations on computer graphics performance are rising continuously:
whether in computer games, training simulators, or broadcast production, ever more realistic rendering results are to be achieved at real-time frame rates. In fact, thanks to progress in graphics hardware as well as rendering algorithms, visual realism is today within easy reach of off-the-shelf PCs.
|Prof. Dr. Anders Ynnerman|
Department of Science and Technology
Rendering and Interacting with Large Scale Volumetric Data for Medical Applications
The talk will present recent advances in medical volume rendering from the Center for Medical Image Science (CMIV) and the Norrköping Visualization and Interaction Studio (NVIS), both at Linköping University in Sweden.