May 24, 2011
The emerging theory of compressive sensing has immense implications for designing novel computer Vision algorithms and systems. In this talk, I will discuss basic theory behind compressive sensing and present examples from computer vision. Specifically, I will discuss some algorithms and systems for generating fast video sequences from standard video sequences for periodic and general motion, compressive SAR and 2D/3D reconstructions from sparse gradients.
Professor Rama Chellappa is the Minta Martin Professor of Engineering at the University of Maryland, College Park, MD. Prof. Chellappa received the B.E. (Hons.) degree from the University of Madras, India, in 1975 and the M.E. (Distinction) degree from Indian Institute of Science, Bangalore, in 1977. He received M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue University, West Lafayette, IN, in 1978 and 1981 respectively. Since 1991, he has been a Professor of Electrical Engineering and an affiliate Professor of Computer Science at University of Maryland, College Park. He is also affiliated with the Center for Automation Research (Director) and the Institute for Advanced Computer Studies (Permanent Member). In 2005, he was named a Minta Martin Professor of Engineering. Prior to joining the University of Maryland, he was an Assistant (1981-1986) and Associate Professor (1986-1991) and Director of the Signal and Image Processing Institute (1988-1990) at University of Southern California, Los Angeles. Over the last 29 years, he has published numerous book chapters, peer-reviewed journal and conference papers. He has co-authored and edited books on Markov Random Fields (MRF), face and gait recognition and collected works on image processing and analysis. His current research interests are face and gait analysis, markerless motion capture, 3D modeling from video, image and video-based recognition and exploitation and hyper spectral processing. Prof. Chellappa has received several awards, including an NSF Presidential Young Investigator Award, four IBM Faculty Development Awards, an Excellence in Teaching Award from the School of Engineering at USC, two paper awards from the International Association of Pattern Recognition Society, Technical Achievement and Meritorious Service Awards from the IEEE Signal Processing Society, Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. At University of Maryland, he was elected as a Distinguished Faculty Research Fellow, a Distinguished Scholar-Teacher, received the Outstanding Faculty Research Award from the College of Engineering, an Outstanding Innovator Award from the Office of Technology Commercialization and an Outstanding GEMSTONE Mentor Award. Purdue University recently recognized him with an Outstanding ECE Award. He is a Fellow of the IEEE, the International Association for Pattern Recognition and Optical Society of America Prof. Chellappa served as the associate editor of four IEEE Transactions, as a Co-Editor-in-Chief of Graphical Models and Image Processing and as an Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence. He served as a member of the IEEE Signal Processing Society Board of Governors and as its Vice President of Awards and Membership. He is serving a two-year term as the President of IEEE Biometrics Council. He has served as the General Technical Program Chair for several IEEE international and national conferences and workshops. He is a Golden Core Member of IEEE Computer Society and served a two-year term as a Distinguished Lecturer of the IEEE Signal Processing Society.