CS 6670

CS 6670

Course information provided by the Courses of Study 2021-2022.

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: MATH 2210 or equivalent.

Comments Undergraduate-level understanding of algorithms.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 10995 CS 6670   LEC 001

  • Instruction Mode: In Person
    Seats reserved for graduate students. Professional and undergraduate students should add themselves to the waitlist during add/drop. See enrollment website for more details: https://www.cs.cornell.edu/courseinfo/enrollment/cs-6000-level-courses