============================================================ TUTORIAL I Sunday June 15 Morning FINDING PICTURES IN DIGITAL LIBRARIES Prof. David Forsyth and Prof. Jitendra Malik, U.C. Berkeley Very large collections of pictures are now common, and there is a desperate need to be able to index them. Since users generally want to find images depicting particular objects, the application focuses attention on important research problems in computer vision. Partial solutions to these problems lead to useful systems, because often the only alternative is to index the collection by hand. TUTORIAL II Sunday June 15 Afternoon ROBUST TECHNIQUES FOR COMPUTER VISION Prof. Peter Meer, Rutgers University Robust estimation techniques have become standard tools in computer vision. The tutorial discusses robust techniques in the context of image understanding problems, and provides practical suggestions for achieving the best possible results. TUTORIAL III Monday June 16 Morning COMPUTATIONAL SENSORS FOR VISION Dr. Vladimir Brajovic and Prof. Takeo Kanade, Carnegie Mellon University Computational Sensors are chips which tightly integrate sensing and processing. Successful sensors have been demonstrated for computer vision applications and are typical of the next generation of vision sensors. The tutorial will review several representative examples of computational sensors and will cover basic (primarily analog) techniques for computation in VLSI. TUTORIAL IV Monday June 16 Afternoon SYNTHETIC APERTURE RADAR (SAR) IMAGE UNDERSTANDING Dr. Les Novak, Lincoln Laboratory, Massachussets Institute of Technology This tutorial presents a basic understanding of synthetic aperture radar imagery. Basic SAR image characteristics will be defined and demonstrated using real and simulated SAR. Basic techniques for SAR processing, filtering, and object recognition will be described. Advanced SAR processing techniques, such as superresolution, will also be addressed.