Goals of the system include supplying data manipulation parameters to interactive data exploration and collaborative visualization software, and to virtual reality systems. The talk describes a method performing range processing only when necessary and where necessary. Range data is processed only for non-static regions of interest. This is accomplished by a set of filters on the color, motion, and range data. A significant speedup is achieved.
Experimental results demonstrate the success of the described algorithms.
Leonid V. Tsap received his Ph.D. in Computer Science from the University of South Florida, Tampa. He is a three-time winner of the annual USF USPS Scholarship Award, and a recipient of the Provost's Commendation for Outstanding Teaching by a Graduate Student. He also received USF Graduate Council's Outstanding Dissertation Prize. He is currently with the Center for Applied Scientific Computing at the University of California Lawrence Livermore National Laboratory.