F8 - Quantitative Computational Imaging

Organizer: M. Magnor

Marcus Magnor heads the Computer Graphics Lab of the Computer Science Department at Braunschweig University of Technology (TU Braunschweig). He holds a Master's degree in physics (1997) and a PhD in electrical engineering (2000). He was postdoctoral research associate in the computer graphics lab at Stanford University prior to becoming independent research group leader at the Max-Planck-Institut Informatik. Besides full professor in computer science he also holds an appointment as adjunct professor at the Department of Physics and Astronomy of the University of New Mexico, USA. His research interests concern visual computing, i.e. visual information processing from image formation, acquisition, and analysis to image synthesis, display, perception, and cognition. Areas of research include, but are not limited to, computer graphics, computer vision, visual perception, image processing, computational photography, astrophysics, imaging, optics, visual analytics, and visualization.


Images convey a wealth of information about their physical origins, at the speed of light and over potentially cosmic distances. To extract quantitative, physically significant data from images, computational imaging approaches frequently combine ingenious image acquisition design with domain-specific physics knowledge and optimized image processing algorithms. This forum presents state-of-the-art research in quantitative computational imaging, with applications in astrophysics, engineering, medicine, microscopy, photogrammetry, remote sensing, and many more areas.