CS 532 - Computer Vision - 3 credit hours
Theory and practice of feature extraction, including edge, texture, and shape measures. Picture segmentation; relaxation. Data structures for picture description. Matching and searching as models of association and knowledge learning. Formal models of picture languages.
Prerequisites: Math 345 or EECE 340 (Probabilistic Methods in Electrical Engr.); 361L or EECE 331 (Data Structures and Algorithms).
(Also offered as EECE 516.)
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(505) 277-3112 (phone)
(505) 277-6927 (fax)
Web site questions:
All other questions:
University of New Mexico
Department of Computer Science
Mail stop: MSC01 1130
1 University of New Mexico
Albuquerque, NM 87131-0001
Department of Computer Science
Mail stop: MSC01 1130
1 University of New Mexico
Albuquerque, NM 87131-0001
