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 (INM 200/202) - please check the course schedule and bring your own laptops for the exercise sessions.
If you have any questions please email one of the TAs and we can arrange a meeting.
Semih Günel (email@example.com)
Isinsu Katircioglu (firstname.lastname@example.org)
Udaranga Wickramasinghe (email@example.com)
Krishna Kanth Nakka (firstname.lastname@example.org)
Michal Jan Tyszkiewicz (email@example.com)
It will be a 90min closed book exam with multiple-choice and open-ended questions. You will be allowed ONE hand-written A4 page of notes and 80% of your grade will come from this exam.
Not all practical sessions will be graded. However, two of them will be, one in the middle of the term and another towards the end. This will count for the remaining 20% of your grade.