CS 6670
Last Updated
- Schedule of Classes - January 9, 2020 9:13AM EST
- Course Catalog - January 9, 2020 9:14AM EST
Classes
CS 6670
Course Description
Course information provided by the 2019-2020 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: MATH 2210 or equivalent.
When Offered Fall.
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 Bill and Melinda Gates Hll G01
Instructors
Hariharan, B
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Additional Information
Instruction Mode: In Person