Welcome to the Computer Vision class!
Computer Vision is the branch of Computer Science whose goal is to model the real world or to recognize objects from digital images. These images can be acquired using still and video cameras, infrared cameras, radars, or specialized sensors such as those used in the medical field.
The students will be introduced to the basic techniques of the field of Computer Vision. They will learn to apply Image Processing techniques where appropriate.
We will concentrate on the black and white and color images acquired using standard video cameras. We will introduce the basic processing techniques, such as edge detection, segmentation, texture characterization, and shape recognition.
Prof. Pascal Fua
Computer Vision Laboratory (CVLAB)
Course Times and Locations
Lectures: Friday 08:15 - 10:00
Exercises: Every other Thursday 08:15 - 10:00 (BC 07-08)
Monday 4PM-5PM : BC318 firstname.lastname@example.org
Tuesday 2PM-3PM : BC301 email@example.com
Thursday 2PM-3PM : BC303 firstname.lastname@example.org
It will be a 90min closed book exam and 80% of your grade will come from this exam. You will be allowed ONE hand-written A4 page of notes. Here is a sample exam from a previous year.
Practical sessions will not be graded. However, you'll have 2 graded practical sessions, one midterm and one final, which will form 20% of your grade.