Is this Course for you?

Major Objectives:

• Appreciation of the state of the art in computer vision. What problems have been solved? What are the active research areas?

• Knowledge of established techniques in a few key areas of computer vision. How are they implemented? What are they good for? How well do they work?

• Possession of critical analysis skills necessary to pursue computer vision research with examples drawn from all the major industries of the Houston area (e.g. NASA, Medical Center, Oil industry).

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Learning Technologies

• The course is being taught in a multimedia classroom (and on ITV) and lectures are supplemented with on-line demos and exercises.

• Course management is done using WebCT including submission of assignments and posting of scores.

• All lectures and reference material are available through WebCT and the instructor’s course webpage.

And Students Say...

Name Major Degree Ocupation

Musodiq Bello Computer Science PHD Research Assistant

“Computer Vision has completely changed my career plans. The course was so interesting and challenging, particularly in the way Dr. Kakadiaris handled it.”

Name Major Degree Ocupation

Chris Harding Geoscience PHD Assistant Professor

“I have used the knowledge gained from the course several times in research and development on geoscience software in academia and industry.”

“The best part of this course is that at the end of the semester you have not only learned theory and have implemented it through assignments and projects but you also know the rationale behind those different theoretic approaches to similar looking problems with their own domain specific challenges.”

Amol Pednekar, UH Computer Science