Introduction à la vision par ordinateur

Computer vision is an interdisciplinary field with the goal of enabling automatical processing and understanding of digital images. These images can be captured by video cameras, radars, satellites or even very specialised sensors such as the ones used for medical purposes. This course covers both theoretical and practical aspects of computer vision. It has been designed to provide an introduction to computer vision, including fundamentals on image processing, computational photography, multiview geometry, stereo, tracking, segmentation and object detection. It will expose students to a number of real-world applications that are important to our daily life. The course will be focusing only on classical computer vision techniques, presenting a detailed overview of classical vision methods, while it does not cover deep learning-based methods.