General
Section outline
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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.Instructor
Prof. Pascal Fua
Computer Vision Laboratory (CVLAB)
BC 310
E-mail: pascal.fua@epfl.chCourse 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.
Questions
If you have any questions please post them in the discussion forum and we will answer you.
Contact TAs
Corentin Dumery (corentin.dumery@epfl.ch)Yingxuan You (yingxuan.you@epfl.ch)
The lectures will be recorded and deposited on this channel.Final exam
It will be a 90min closed book exam with multiple-choice and open-ended questions, parts of the exam will be a follow-up to a previous exercise session. You will be allowed ONE double-sided hand-written (non-digital, non printed) A4 page of notes. It will count for 100% of your final grade.
