Visual Intelligence: Machines and Minds

This lecture covers the history of computer vision, from the rudimentary image formation to the three R's of computer vision: Recognition, Reconstruction, and Reorganization. It delves into the optical and cognitive processes of visual perception, as well as the physiology of the visual nervous system. The lecture also explores image transformation techniques such as affine transformations and image correspondences using descriptors like DAISY. Additionally, it discusses dynamic perspectives in computer vision, including motion recognition in videos, dynamic camera perspectives, and depth estimation techniques. The presentation concludes with an overview of 3D estimation cues in computer vision.