CS 6670

CS 6670

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.

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 12851 CS 6670   LEC 001

  • Instruction Mode: In Person