Visual Computing - Bridging Real and Digital Domain
Montag, 23. Januar 2017
16:00 – 17:30 Uhr
C202, Power Wall Room
SFB TRR 161, FB Informatik u. Informationswissenschaft
Prof. Dr.-Ing. Marcus Magnor, TU Braunschweig
Any luminous or illuminated object continuously emits images of itself, in all directions and over huge distances. At the speed of light images convey a wealth of information about their origins, which our visual system can decipher almost without effort, in real time, extremely efficient, and enormously robust. Consequently, the visual sense has evolved to become our prime modality for gathering information of our environs. In my talk I will outline how we have only just begun to exploit visual information as the ideal interface between the real and digital world, as well as between the digital domain and human brains. In this respect, Visual Computing constitutes an enabling technology of the 21. century that will pave the way for technological advances of substantial socio-economic impact.
Marcus Magnor heads the Computer Graphics Lab of the Computer Science Department at Technische Universität Braunschweig (TU Braunschweig). He received his BA (1995) and MS (1997) in Physics from Würzburg University and the University of New Mexico, respectively, and his PhD (2000) in Electrical Engineering from Erlangen University. For his post-graduate studies, he joined the Computer Graphics Lab at Stanford University. In 2002, he established the Independent Research Group Graphics-Optics-Vision at the Max-Planck-Institut Informatik in Saarbrücken. He completed his habilitation in 2005 and received the venia legendi for Computer Science from Saarland University. In 2009, he was Fulbright Scholar at the University of New Mexico, USA, where he holds an appointment as adjunct professor at the Physics and Astronomy Department. His research interests meander along the visual information processing pipeline, i.e. 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.