CS 558 Computer Vision
An introduction to the field of Computer Vision, focusing on the underlying algorithmic, geometric, and optic issues. The course starts with a brief overview of basic image processing topics (convolution, smoothing, and edge detection). It then proceeds on various image analysis topics: binary images, moments-based shape analysis, Hough transform, image formation, depth and shape recovery, photometry, motion, classification, and special topics. Prerequisites: Graduate students - Undergraduate Linear Algebra and Data Structures and Algorithms; OR (MA 544 OR CS 556) AND CS 590. Undergraduate students - MA 232 and CS 385.
Cross Listed Courses
CPE 558