Computer Vision (CS558)

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, 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, special topics. Prerequisites: CS 385 or CS 590 or equivalent; Corequisites: Ma 112 or Ma 115 or equivalent.




This course is part of the following programs:

Program NameProgram Directors(s)
Computer Graphics Graduate CertificateGeorge Kamberov
Computer Engineering MastersYu-Dong Yao
Computer Science MastersNA
I just completed my Graduate Certificate and I strongly recommend the Stevens’ WebCampus curriculum to anyone interested in improving their academic credentials while working full time. WebCampus offers flexibility, challenging and informative lessons, and an education that can actually be used in the real-world workplace. Denise O’Brien, Project Manager, AT&T"
Print This PageE-Mail This Page