CS 4670
Last Updated
- Schedule of Classes - November 13, 2024 8:41AM EST
- Course Catalog - November 12, 2024 10:26AM EST
Classes
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CS 4670
Course Description
Course information provided by the 2023-2024 Catalog.
An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world-the 3D shape of an environment, the motion of objects, the names of people or things-through analysis of digital images or videos. The course covers a range of topics, including 3D reconstruction, image segmentation, object recognition, and vision algorithms fro the Internet, as well as key algorithmic, optimization, and machine learning techniques, such as graph cuts, non-linear least squares, and deep learning. This course emphasizes hands-on experience with computer vision, and several large programming projects.
Prerequisites/Corequisites Prerequisite: CS 2110, CS 2800, MATH 2940 or equivalent, and MATH 1920 or equivalent.
Distribution Category (SMR-AS)
When Offered Spring.
Regular Academic Session. Choose one lecture and one project. Combined with: CS 5670
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- MWF Uris Hall G01
- Jan 22 - May 7, 2024
Instructors
Hariharan, B
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Additional Information
Instruction Mode: In Person
Enrollment limited to CS majors only. All others should add themselves to the waitlist during add/drop in January.