Nov 21, 2024  
2019-2020 Catalog 
    
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2019-2020 Catalog [ARCHIVED CATALOG]

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EE 5430 - 3-D Computer Vision

Credits: 3
This course is intended to provide a mathematical framework for describing three dimensional imaging and computer vision. Topics include 3-D coordinate transforms, image formation, camera calibration, reconstruction from two views, SIFT detection, hidden Markov models, Markov random fields, and “bag-of-words” visual description. 


Prerequisite: EE 4220 , MATH 2250 .


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