CS 5670
Last Updated
- Schedule of Classes - May 15, 2019 12:56PM EDT
- Course Catalog - March 4, 2019 1:00PM EST
Classes
CS 5670
Course Description
Course information provided by the 2018-2019 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 segmentaion, 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.
When Offered Spring.
Regular Academic Session. Combined with: CS 4670
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MWF Ives Hall 305
Instructors
Hariharan, B
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Additional Information
Instruction Mode: In Person
Enrollment limited to CIS students only. All others may add themselves to the waitlist during Add/Drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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MW
Bloomberg Center 131
Cornell Tech Instructors
Snavely, K
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MW
Bloomberg Center 131
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Additional Information
Instruction Mode: In Person
Taught in NYC. Enrollment limited to Cornell Tech students.*Weill students must obtain instructor approval to enroll. Please send completed registration forms and instructor approval to studentservices@tech.cornell.edu. Students will only be registered if space allows.
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