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.
Spring | Summer | Fall | ||
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(Session 1) | (Session 2) | |||
2023 | ||||
2022 |
Computational Vision (4c)
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2021 |
Computational Vision (4c)
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2020 | ||||
2019 |
Computational Vision (4c)
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2018 |
Computational Vision (4c)
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2017 |
Computational Vision (4c)
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2016 | ||||
2015 | ||||
2014 | ||||
2013 | ||||
2012 | ||||
2011 | ||||
2010 | ||||
2009 | ||||
2008 | ||||
2007 |