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Pascal Fua
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BIOGRAPHY
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Pascal Fua has worked on various aspects of computer vision and augmented reality, including shape and motion recovery, human body modeling, real-time registration, and the use of information theory. He now heads the Computer Vision Laboratory.
Before joining EPFL in 1996, Pascal Fua worked at SRI International and at INRIA Sophia-Antipolis as a computer scientist. He is an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and won the best paper award at CVPR 2005 and the best demonstration award at BMVC 2003.
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MAIN PUBLICATIONS
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Keypoint Recognition using Randomized Trees, V. Lepetit and P. Fua, Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, Nr. 9, pp. 1465--1479, 2006.
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data, P. Fua, International Journal of Computer Vision, Vol. 38, Nr. 2, pp. 153-157, 2000.
Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading, P. Fua and Y. G. Leclerc, International Journal of Computer Vision, Vol. 16, pp. 35-56, 1995.
A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features, P. Fua, Machine Vision and Applications, Vol. 6, Nr. 1, pp. 35-49, 1993.
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Current Work
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The research activities of the Computer Vision Laboratory focus on shape and motion recovery from images, object and people detection and tracking in video sequences, and analysis of brain microscopy image-stacks. CVLab also provides undergraduate and graduate teaching and performs technology transfer to both established and start up companies.
Pascal Fua's research is sponsored by the Swiss National Science Foundation, the CTI, the European Union, and several industrial partners.
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Full Professor 