Recent developments in compressive sensing, sparse representations and dictionary learning are enabling potentially new approaches to many image and video-based recognition problems. In this talk, I will briefly review these emerging principles and discuss image and video-based face and iris recognition using sparse representations, dictionary-based object and event recognition and compressive classification of videos. Methods for handling illumination variations and low resolution images will also be discussed.
Wednesday, March 21, 2012
Free and open to the public