CS 332 Visual Processing in Computer and Biological Vision Systems

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 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, color, object recognition, and image processing applications in areas such as medicine, security, information retrieval, robotics and intelligent vehicles. The course uses vision software written in MATLAB.

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Computer Science Department
Last Modified August 6, 2013