Computer Vision

Catalog description

How can computers understand images? This course covers principles in computational vision and their relationship to human visual perception. Topics may include geometry of image formation, image filtering and representation, texture analysis, 3-D reconstruction from stereo and motion, image segmentation, object detection, and recognition. Students implement and evaluate methods on real images in laboratory exercises and an independent project. Prerequisite: CSC 161 and MAT 215. WEINMAN