Computer Graphics Lab
Swiss Federal Institute of Technology (EPFL)
Lausanne Switzerlan CH-1015
Fax: (650) 859-3735
Home Page: http://cvlab.epfl.ch/~fua/
Alumnus of the Artificial Intelligence Center
Pascal Fua joined the faculty of EPFL and the Computer Graphics Laboratory in 1996. Before that, he worked at SRI International and at INRIA Sophia-Antipolis as a computer scientist. His current research interests include human shape and motion modeling from images and Augmented Reality applications.
Provided three-dimensional (3-D) site model data for integration with terrain data from other project participants, and provided our terrain visualization system, TerraVision, as an alternative visualization technology.
The purpose of this project is to develop a robust and reliable method of detecting changes in the 3-D shape of terrain given sets of aerial/satellite images taken at different times.
The following are in reverse chronological order of publication.
Showing most recent 5 out of 19 [View All]
Leclerc, Y. and Luong, Q.-T. and Fua, P. Characterizing the Performance of Multiple-image Point-correspondence Algorithms using Self-Consistency, in Proceedings of the Vision Algorithms: Theory and Practice Workshop (ICCV99), Corfu, Greece, Sep 1999. [PDF, Details]
Leclerc, Y. G. and Luong, Q. T. and Fua, P. Self-Consistency, A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms, in One-day Workshop on Performance Characterisation and Benchmarking of Vision Systems, Las Palmas de Gran Canaria, Canary Islands Spain, 1999. [PDF, Details]
Leclerc, Y. G. and Luong, Q.-T. and Fua, P. Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms, in Proceedings of the DARPA Image Understanding Workshop, Monterey, California, Nov 1998. [PDF, Details]