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 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: Monday 13:15 - 15:00 CM3
Exercises: Tuesday 10:15 - 12:00 every other week. INM 200 (A-M), INM 202 (N-Z)
Please check the course schedule and bring your own laptops for the exercise sessions.
If you have any questions please post them in the discussion forum and we will answer you.
If you have any questions please email one of the TAs and we can arrange a meeting.
Andrey Davydov (firstname.lastname@example.org)
Benoît Guillard (email@example.com)
Michal Jan Tyszkiewicz (firstname.lastname@example.org)
Chen Zhao (email@example.com)
Zhen Wei (firstname.lastname@example.org)
Corentin Dumery (email@example.com)
Jean Decroux (firstname.lastname@example.org)
Graded Exercise Sessions
We will grade two of the exercise sessions. They will count for 10% of you final grade each.
The recorded lectures from the 2020/2021 school year will be available on the webpages.