Foundations of Computer Vision

3 credits · College of Engineering catalogue

Advisory Prerequisite: Undergraduate Calculus, Linear Algebra, Probability and Programming. Enforced Prerequisite: None. Credit Exclusions: Student may only receive credit for one course , EECS 442 and EECS 504. (3 credits) The course lays a framework for the extraction of useful information from images. Topics include representations of visual content (e.g., functions, points, graphs); visual invariance; mathematical and computational models of visual content; optimization methods for vision. Theoretical treatment and concrete examples, e.g., feature learning, segmentation image stitching, both covered.