Elearning Università di Udine

This course provides an introduction to computer Vision, including the fundamentals of image formation, image and camera geometry, feature detection and association, stereo Vision, object detection, motion estimation and tracking, image classification and scene analysis. We will explore methods of camera calibration, automatic alignment, detection, tracking and recognition. We will use both classical analytical algorithms as well as machine learning and deep learning to address these problems. The aim of the course is to develop the insights and mathematics of the methods in class, and then learn the difference between theory and practice in projects.