Lecture
This lecture introduces the fundamentals of computer vision, focusing on inferring properties from images. Topics include shape inference, illusions, challenges in vision, optical and photometric illusions, and applications like cartography, robotics, and autonomous driving. The lecture also covers the history of computer vision, deep neural networks, and the course outline and organization.