Visual Intelligence: Machines and Minds

This lecture covers topics related to visual intelligence, including perception, sensory observation, image feature extraction, classification, and the anatomical connection between vision and action. It discusses concepts such as surface normals, 3D curvature, object recognition, and sensorimotor contingency, providing insights into how engineers can understand and control complex visual systems. The presentation delves into the works of David Marr, AlexNet, and the sensorimotor account of vision and visual consciousness by O'Regan & Noe. Through examples like exploring the Titanic remains with a remote-controlled vessel, the lecture illustrates the importance of understanding visual systems for intelligent machine applications.