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[Colloquium] Visual Computing - A walk down the Visual Information Processing Pipeline
April 10, 2008
- Date: Tuesday, April 10th, 2008
- Time: 11 am — 12:15 pm
- Place: ME 218
Marcus Magnor
Braunschweig University of Technology, Germany
Abstract: Ground-breaking advances in science and engineering are frequently triggered by either novel technologies becoming available, new application-driven demands, or progress in related disciplines. In visual computing, all three driving forces are currently coming together: imaging technology as well as graphics hardware are progressing at breath-taking pace, increasing hardware capabilities in conjunction with mass-market proliferation create ceaseless demand for novel applications, while at the same time cognitive neuroscience is beginning to provide quantitative models of visual perception that for the first time allow to computationally emulate how we see. The field of visual computing can be expected to continue to experience a tremendous increase not only in scientific recognition but also in economic relevance. In my talk, I will present examples of research in visual computing to convince you of the scientific as well as economic prospects of visual computing.
Bio: Marcus Magnor heads the Computer Graphics Lab at Braunschweig University of Technology, Germany. He received his BA (1995) and MS (1997) in Physics from the University of Wuerzburg and the University of New Mexico, respectively, and his PhD (2000) in Electrical Engineering from the University of Erlangen, Germany. For his post-graduate studies, he first joined the Computer Graphics Lab at Stanford University before establishing his own Independent Research Group focusing on “Graphics-Optics-Vision” at the Max-Planck-Institut Informatik in Saarbruecken, Germany. His research interests meander along the visual information processing pipeline, from image formation, acquisition, and analysis to image synthesis, display, perception, and cognition. Recent and ongoing research topics include video-based rendering, 3D-TV, augmented vision, video editing, optical phenomena, as well as astrophysical visualization
