CS 5670

CS 5670

Course information provided by the Courses of Study 2015-2016.

An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world-the 3D shape of an environment, the motion of objects, the names of people or things-through analysis of digital images or videos. The course covers a range of topics, including 3D reconstruction, image segmentation, object recognition, and vision algorithms for the Internet, as well as key algorithmic and optimization techniques, such as graph cuts and non-linear least squares. This course emphasizes hands-on experience with computer vision, with several large programming projects.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: CS 2110, CS 2800.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: CS 4670

  • 4 Credits Stdnt Opt

  • 12428 CS 5670   LEC 001

  • Enrollment open only to CIS graduate students (CIS undergraduate students should enroll in CS 4670). All others may add themselves to the waitlist. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 12716 CS 5670   LEC 031

  • Taught at Cornell Tech Campus in New York City. Enrollment limited to Cornell Tech students.