CS 332 Visual Processing in Computer and Biological Vision Systems

CS332 explores computational models for deriving information about the three-dimensional world from visual images. We examine the algorithms used by computer vision systems to analyze digital images from a camera, and the strategies used by biological vision systems to interpret the incoming retinal image. We show how an interdisciplinary study that combines computer science, psychology 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, shape from shading, lightness and color, object recognition, and applications of computer vision systems in areas such as medicine, security, information retrieval, and intelligent vehicles. The course uses vision software written in MATLAB.