Computer Vision course is dedicated to 1st year master Artificial Intelligence, principles and applications 2nd semester, in which it is a continuity of 1st semester where students learnt the basics of image processing. In this course, student will learn how a machine can see by studying from image aquisition to implementation of simple interest point detectors them. Calculation and implementation of simple local descriptors ples. Identification and exploitation of situations where there is a homographic relationship. Implementation of simple motion analysis operators from a sequence of images. And search for the operators and tools that best meet a computer vision problem.