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CS 512 - Computer Vision

Course Description: 

Introduction to fundamental topics in computer vision and the application of statistical estimation techniques to this area. Intended to give the student a good basis for work in this important field. Topics include: Feature extraction, Probabilistic modeling, Camera calibration, Epipolar geometry, Statistical estimation, Model reconstruction, Statistical filtering, Motion estimation, Recognition, Shape from single image cues.

Credit: 

(3-0-3)

Prerequisite: 

[(CS 430 with min. grade of C)]

Corequisite: 

None

Attachments: