- Schedule of Classes - December 11, 2017 7:14PM EST
- Course Catalog - December 11, 2017 7:15PM EST
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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
- TRPhillips Hall 219
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