University of Houston
Department of Computer Science
In
partial fulfillment of the Requirements for the Degree of
Master of
Science
Georgios Passalis
will defend his
thesis
Multidimensional Face Recognition
Abstract
It is becoming increasingly important to be able to credential and identify authorized
personnel and to recognize suspects around critical installations and at key points
of entry, such as airports. We propose a novel facial recognition approach that
employs 3D facial data. Our approach combines subdivision surfaces and deformable
models to produce metadata that are compared for similarity. We have performed
a number of experiments to access the accuracy of our method with very encouraging
results.
Date: Wednesday, April 28, 2004
Time: 9:00 AM
Place:
550-PGH
Faculty, students, and the general public are
invited.
Thesis Advisor: Professor Ioannis A. Kakadiaris