This course introduces computational methods and techniques for computer vision, extended towards real-world problems such as vision-guided robotics based on 3D scene description and features for learning (including deep-learning examples). Quizzes and/or programming assignments will support the course materials via online delivery. In-class or online tests (two hours each) will be held in weeks 6 and 12.
Building upon COMPSCI 373 contents (or see recommended reading "G. Gimel'farb, P. Delmas; Image Processing and Analysis: A Primer"), COMPSCI 773 delivers a more in-depth understanding of established and state-of-the-art computer vision methodology and research, which is valuable for all students including those studying towards honours, MSc and PhD degrees. Furthermore, computer vision techniques are an area where specialists are sought by industry (e.g. artificial intelligence, robotics, gaming or augmented reality), both nationally as well as internationally.