IT 835 - Computational Vision

Institution:
George Mason University
Subject:
Description:
Credits: 3 Cross-Listed with CS 835 Study of recent advances in development of machine vision algorithms and knowledge-based vision systems. Topics include scalespace; Gabor and wavelet processing; distributed and hierarchical processing using neural networks; motion analysis; active, functional, and selective perception; object and target recognition; expert systems; data fusion; and machine learning. Emphasizes system integration in terms of perception, control, action, and adaptation. Presents applications to robotics, intelligent highways, inspection, forensic, and data compression. Prerequisites CS 682 and 686, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(703) 993-1000
Regional Accreditation:
Southern Association of Colleges and Schools
Calendar System:
Semester

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