Marc Pollefeys

Biography

Marc Pollefeys is a full professor and head of the Institute for Visual Computing of the Dept. of Computer Science of ETH Zurich which he joined in 2007. He leads the Computer Vision and Geometry lab. Previously he was with the Dept. of Computer Science of the University of North Carolina at Chapel Hill where he started as an assistant professor in 2002 and became an associate professor in 2005. Before he was a postdoctoral researcher at the Katholieke Universiteit Leuven in Belgium, where he also received his M.S. and Ph.D. degrees in 1994 and 1999, respectively. His main area of research is computer vision. One of his main research goals is to develop flexible approaches to capture visual representations of real world objects, scenes and events. Dr. Pollefeys has received several prizes for his research, including a Marr prize, an NSF CAREER award, a Packard Fellowship and a ERC Starting Grant. He is the author or co-author of more than 280 peer-reviewed papers. He will be a general chair for ICCV 2019, and was general chair for ECCV 2014 in Zurich, program chair for the IEEE Conf. on Computer Vision and Pattern Recognition 2009 and was co-chair of the Third Symposium on 3D Data Processing, Visualization and Transmission and has organized workshops and courses at major vision and graphics conferences and has served on the program committees of many conferences. He is a regular reviewer for most of the major vision, graphics and photogrammetry journals. Prof. Pollefeys is/was on the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence, the International Journal of Computer Vision, Foundations and Trends in Computer Graphics and Computer Vision and several other journals. He is an IEEE Fellow.

Research Interest

Computer vision; 3D-from-video; (self-)calibration; structure-from-motion; simultaneous-localization and mapping (SLAM); camera tracking; camera networks; active vision; robot vision; multiple view geometry; omnidirectional vision; projector-camera systems; image-based modeling and rendering; video-based rendering; computational photography; image and video analysis; applications of computer vision to archaeology, urban modeling, terrain modeling, human-computer interaction, robotics, entertainment, medecine, etc.