Dr. Oge Marques | May 22, 2017 | 16:00 | E.2.42

Abstract

This talk provides an overview of the interdisciplinary science of vision, with emphasis on meaningful open problems in human and computer vision and contemporary approaches for solving such problems. It highlights selected challenges involved in understanding, modeling, and simulating human vision mechanisms; compares and contrasts the human vision system and computer vision systems designed to achieve comparable functionality; and contextualizes the latest advances in computer vision, artificial intelligence, and deep learning and their impact on the advancement of vision science. Moreover, it presents correlations between vision science and selected aspects of cognitive neurosciences, artificial intelligence, and representative works of art.

Oge Marques (http://faculty.eng.fau.edu/omarques/) is Professor of Computer and Electrical Engineering and Computer Science at Florida Atlantic University (FAU) (Boca Raton, Florida). He has more than 25 years of teaching and research experience in the fields of image processing and computer vision. His research interests are in the area of intelligent processing of visual information, which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception. He is the (co-) author of two patents, more than 100 refereed journal and conference papers, and several books in these topics, including the textbook Practical Image and Video Processing Using MATLAB (Wiley-IEEE Press, 2011). He is a Tau Beta Pi Eminent Engineer, a Senior Member of both the ACM and the IEEE and a member of the honor societies of Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.