CS332 explores models for deriving information about the three-dimensional world from visual images. We examine methods used in computer vision systems to analyze digital images and strategies used by biological vision systems to interpret the retinal image. We show how an interdisciplinary approach to the study of vision, which combines computer science, psychology, cognitive science, and neuroscience, contributes to the design of effective computer vision systems and the understanding of human visual processing. Topics include edge detection, stereopsis, motion analysis, color, face recognition, object recognition, and image processing applications in areas such as medicine, security, information retrieval, robotics, assistive technologies, and intelligent vehicles. The course uses vision software written in MATLAB.

Course Preliminaries