EE 5430

3-D Computer Vision

University of Wyoming · UGRD · Fall 2026

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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.

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Class #wyoming-1524Fall 2026UGRD3 credits
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