CS 6670
Last Updated
- Schedule of Classes - February 12, 2019 8:29PM EST
- Course Catalog - January 26, 2019 2:00PM EST
Classes
CS 6670
Course Description
Course information provided by the 2018-2019 Catalog.
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.
Prerequisites/Corequisites Prerequisite: undergraduate-level understanding of algorithms and MATH 2210 or equivalent.
When Offered Fall.
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 Bill and Melinda Gates Hll G01
Instructors
Hariharan, B
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Additional Information
Instruction Mode: In Person
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