lihi -at- ee.technion.ac.il
Office: Meyer 959
Office hours: Tuesday 15:30-16:30, or schedule by email
This course is intended for graduate and advanced undergraduate students who are interested in computer vision. The goal of the course is to provide students with the basic techniques and results in the field.
Computers and machines today are still limited in their ability to interact with their suroundings due to their inability to "see". The goal of computer vision is to provide man-made machines seeing capabilities that will enable them to interact with the world and with humans. We use cameras to look at the world and develop methods for "understanding" what the cameras capture.
In this course you will:
A bunch of things you want to know.
A good working knowledge of Matlab
Any previous exposure to computer vision, machine learning, applied probability, and/or image processing will be an asset.
Please feel free to
contact me if you
have any concerns about whether or not you should take this course.
We will be using the new text book of Rick Szeliski: Computer Vision: Algorithms and Applications.
Optional: Forsyth &
Ponce, Computer Vision: A Modern Approach,
Pearson, 2002, ISBN 0130851981
Email List: Please send me an email asking to be added to the distribution list.
I will use emails to for updates/corrections/information.
The grade is based on three home-work (15% each) assignments and a final project (50%), class participation (5%).
Project submission will be one-on-one with the course staff and will include questions on the course material.