            |
GRASP Seminar Series: Spring 2008
April 25, 11:00 a.m., Wu & Chen Auditorium, Levine Hall (3330 Walnut Street)
Sven
Dickinson
University of Toronto
"Object Categorization and the Need for Many-to-Many Matching"
Abstract: Object recognition systems have their roots in the AI community, and originally addressed the problem of object categorization. These early systems, however, were limited by their inability to bridge the representational gap between low-level image features and high-level object models, hindered by the assumption of one-to-one correspondence between image and model features. Over the next thirty years, the mainstream recognition community moved steadily in the direction of exemplar recognition while narrowing the representational gap. The community is now returning to the categorization problem, and faces the same representational gap as its predecessors did. We review the evolution of object recognition systems and argue that bridging this representational gap requires an ability to match image and model features many-to-many. We review three formulations of the many-to-many matching problem as applied to model acquisition and object recognition.
Biography: Sven Dickinson received the B.A.Sc. degree in systems design engineering from the University of Waterloo, in 1983, and the M.S. and Ph.D. degrees in computer science from the University of Maryland, in 1988 and 1991, respectively. He is currently Professor of Computer Science at the University of Toronto.
GRASP
Laboratory
Site maintained by graspadm@grasp.cis.upenn.edu
Last update:14 January, 2008