Computer Vision Distinguished Speaker Series
Tensor Voting: Review, Applications to Computer Vision and Machine Learning
Dr. Gérard Medioni
Monday, March 26, 2007
2:00PM Harris Corporation Engineering Center - 125
Abstract
The second part of the talk focuses on the application of tensor voting to real computer vision problems. Since many computer vision problems, such as stereo and motion analysis, can be expressed as the inference of smooth structures, they can be addressed within a perceptual organization framework.
Finally, we show how tensor voting can be applied to problems in higher dimensions, while keeping the computational complexity at reasonable levels.
Short Bio
Professor Gérard Medioni received the Diplôme d’Ingenieur from ENST, Paris in 1977, a M.S. and Ph.D. from the University of Southern California in 1980 and 1983 respectively. He has been at USC since then, and is currently Professor of Computer Science and Electrical Engineering, Chairman of the Computer Science Department, co-director of the Institute for Robotics and Intelligent Systems (IRIS), and co-director of the USC Games Institute. Professor Medioni has made significant contributions to the field of computer vision. His research covers a broad spectrum of the field, such as edge detection, stereo and motion analysis, shape inference and description, and system integration. He has published 3 books, over 50 journal papers and 150 conference articles, and is the recipient of 8 international patents. Prof. Medioni is associate editor of the Image and Vision Computing Journal, associate editor of the Pattern Recognition and Image Analysis Journal and of the International Journal of Image and Video Processing. He is a Fellow of IAPR, IEEE, and AAAI.
