CS 6670
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
CS 6670
Course Description
Course information provided by the Courses of Study 2022-2023.
This course will introduce the core problems of computer vision and discuss both classical approaches based on the geometry and physics of image formation as well as current approaches based on recent advances in deep learning. Topics include stereopsis and 3D reconstruction, optical flow, image segmentation, object recognition, feature representations of images and patches, and convolutional networks.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: MATH 2210 or equivalent.
Comments Undergraduate-level understanding of algorithms.
Regular Academic Session.
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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
- TR Frank H T Rhodes Hall 571
- Aug 22 - Dec 5, 2022
Instructors
Hariharan, B
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Additional Information
Instruction Mode: In Person
Seats reserved for graduate students. Professional and undergraduate students should add themselves to the waitlist during add/drop. See enrollment website for more details: https://www.cs.cornell.edu/courseinfo/enrollment/cs-6000-level-courses
Regular Academic Session.
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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
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TR
Bloomberg Center 497
Ithaca, NY (Main Campus) - Aug 22 - Dec 5, 2022
Instructors
Hariharan, B
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TR
Bloomberg Center 497
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Taught in NYC, streamed from Ithaca. Enrollment Limited to Cornell Tech PhD Students only.
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