CS 6670
Last Updated
- Schedule of Classes - February 16, 2018 10:59AM EST
- Course Catalog - February 12, 2018 11:18AM EST
Classes
CS 6670
Course Description
Course information provided by the Courses of Study 2017-2018.
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: undergraduate-level understanding of algorithms and MATH 2210 or equivalent.
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 Phillips Hall 219
Instructors
Hariharan, B
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