CS 5670
Last Updated
- Schedule of Classes - April 4, 2023 12:09PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
CS 5670
Course Description
Course information provided by the Courses of Study 2022-2023.
An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world - including the 3D shape of an environment, the motion of objects, and the names of things - through analysis of digital images or videos. The course covers a range of topics, including low-level vision, 3D reconstruction, and object recognition, as well as key algorithmic, optimization, and machine learning techniques, including deep learning. This course emphasizes hands-on experience with computer vision and includes several programming projects.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: CS 2110, CS 2800.
Regular Academic Session. Combined with: CS 4670
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- MWF Uris Hall G01
- Jan 23 - May 9, 2023
Instructors
Hariharan, B
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Additional Information
Instruction Mode: In Person
Enrollment limited to CS MEng students and CS early admits only. All others should add themselves to the waitlist during add/drop in January.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
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TR
Bloomberg Center 131
Cornell Tech - Jan 23 - May 9, 2023
Instructors
Snavely, N
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TR
Bloomberg Center 131
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Additional Information
Instruction Mode: In Person
Taught in NYC. Enrollment limited to Cornell Tech students.
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