CS 4670

CS 4670

Course information provided by the Courses of Study 2020-2021.

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 fro the Internet, as well as key algorithmic, optimization, and machine learning techniques, such as graph cuts, non-linear least squares, and deep learning.  This course emphasizes hands-on experience with computer vision, and several large programming projects.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: CS 2110, CS 2800.

Distribution Category (SMR-AS)

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: CS 5670

  • 4 Credits Opt NoAud

  • 11479CS 4670  LEC 001

    • MWFOnline Meeting
    • Feb 8 - May 14, 2021
    • Hariharan, B

  • Instruction Mode: Online
    Must take the course synchronously. Enrollment limited to CIS students only. All others should add themselves to the waitlist during add/drop. Please see http://www.cs.cornell.edu/courseinfo/enrollment for more information.

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: CS 5670

  • 4 Credits Opt NoAud

  • 20192CS 4670  LEC 002

    • MWFOnline Meeting
    • Feb 8 - May 14, 2021
    • Hariharan, B

  • Instruction Mode: Online
    This section is for students who must take the course asynchronously due to time zone differences and is by department permission only. Please add yourself to the waitlist in February if you need this section. Please see http://www.cs.cornell.edu/courseinfo/enrollment for more information.