Parallel@Illinois Special Seminar Series

Video Acquisition and Understanding

Wednesday, March 4^th at 4:15 pm CT, B02 CSL

Narendra Ahuja, Professor of Electrical & Computer Engineering

ABSTRACT: This talk reviews several of our ongoing projects in computer vision theory and applications, and characterizes them with respect to their computational requirements, what types of computational approaches we use, what the potential for speed improvement might be, and some thoughts on what speed gains may be feasible in the near and long terms.

BIO: Narendra Ahuja is a Donald Biggar Willet Professor of Engineering at the University of Illinois at Urbana-Champaign. He received his B.E. degree with honors in electronics engineering from the Birla Institute of Technology and Science, Pilani, India, in 1972, an M.E. degree with distinction in electrical communication engineering from the Indian Institute of Science, Bangalore, India, in 1974, and a Ph.D. degree in computer science from the University of Maryland, College Park, in 1979. Previously, he was Scientific Officer in the Department of Electronics, Government of India, New Delhi, and a faculty member in the Computer Vision Laboratory, University of Maryland, College Park. He joined Illinois in 1979 and currently has affiliations in Beckman Institute and the Coordinated Science Laboratory.

His current research is focused on extraction and representation of spatial structure in images and video; integrated use of multiple image-based sources for scene representation and recognition; versatile sensors for computer vision; and applications including visual communication, image manipulation, and information retrieval.

Notable recognitions include the 1999 Emanuel R. Piore award of the IEEE, and the 1998 Technology Achievement Award of the International Society for Optical Engineering, and 2008 TA Stewart-Dyer/Frederick Harvey Trevithick Prize of the Institution of Mechanical Engineers, and 2008 Open Innovation Research Award from Hewlett-Packard.

For more information about Prof. Ahuja's Computer Vision & Robotics Laboratory, visit the website.