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Nov 03, 2024
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CS 663 - Computer Vision Units: 3 Mathematical and algorithmic approaches to the problem of computing properties of the 3-D world from one or more digital images. Topics may include imaging, image processing, feature detection, calibration, stereopsis, motion, object recognition, tracking. Programming projects and review of literature.
Prerequisites: CS 401 or CS 601. Credit Restrictions: Computer Science M.S. or B.S. students only. Equivalent Quarter Course: CS 6825. Possible Instructional Methods: Entirely On-ground, or Hybrid. Grading: A-F grading only. Student Learning Outcomes - Upon successful completion of this course students will be able to: - Demonstrate advanced understanding of the mechanisms, components and architecture of computer vision systems.
- Apply advanced computer science theory to computational problems in the domain of computer vision.
- Apply emerging technologies in the sector of Computer Vision.
- Research and analyze current computer vision literature.
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