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Apr 19, 2024
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CSCI 6270 - Computational Vision
The goal of this course is to introduce students to the problems, challenges, and applications of computer vision from a computational perspective. Topics include camera modeling and image formation, feature extraction, object and face recognition, image mosaic construction, stereo and three-dimensional imaging, motion, and tracking. Machine learning methods, including deep convolutional neural networks, will be studied and applied throughout the course. Students cannot receive credit for both CSCI 4270 and CSCI 6270.
Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2010 or permission of instructor.
When Offered: Fall term odd-numbered years.
Cross Listed: CSCI 4270.
Credit Hours: 4
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