CS 5670
Last Updated
- Schedule of Classes - June 15, 2016 6:14PM EDT
- Course Catalog - June 9, 2016 6:15PM EDT
Classes
CS 5670
Course Description
Course information provided by the Courses of Study 2015-2016.
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 for the Internet, as well as key algorithmic and optimization techniques, such as graph cuts and non-linear least squares. This course emphasizes hands-on experience with computer vision, with several large 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 Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MWF Bill and Melinda Gates Hll G01
Instructors
Bala, K
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Additional Information
Enrollment open only to CIS graduate students (CIS undergraduate students should enroll in CS 4670). All others may add themselves to the waitlist. 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
- MW Cornell Tech
Instructors
Zelnik, L
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Additional Information
Taught at Cornell Tech Campus in New York City. Enrollment limited to Cornell Tech students.
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