Title:  Computer Vision-Based Object Recognition for the Visually-Impaired in an Indoors Environment: An Overview

Speaker: Dr. Rabia Jafri

Abstract:

Though several electronic assistive devices have been developed for the visually impaired in the past few decades, however, relatively few solutions have been devised to aid them in recognizing generic objects in their environment, particularly indoors. Nevertheless, research in this area is gaining momentum. Among the various technologies being utilized for this purpose, computer vision based solutions are emerging as one of the most promising options mainly due to their affordability and accessibility. This talk provides an overview of the various technologies that have been developed in recent years to assist the visually impaired in recognizing generic objects in an indoors environment with a focus on approaches based on computer vision.

Speaker's Bio: Dr Rabia Jafri is an Assistant Professor in the Information Technology Department of the College of Computer and Information Sciences in King Saud University. She received her B.S. degree in Mathematics and Physics from Islamia University (Pakistan) in 1995 followed by B.S. and Ph.D. degrees in Computer Science from the University of Georgia (U.S.A.) in 1999 and 2008, respectively. Her research interests include image processing, computer vision, statistical pattern recognition, biometrics and assistive technologies for the visually impaired.

Date/Time: Tuesday, May 20 12-1pm

Location: Maria Auditorium, F50 in Building 6 (Broadcast to Room 2079 in CCIS Building 31)