- Schedule of Classes - June 16, 2021 7:14PM EDT
- Course Catalog - June 16, 2021 7:15PM EDT
Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.
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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TRTo Be Assigned
- Aug 26 - Dec 7, 2021
Instruction Mode: Planned for 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
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