CS 5670

Course information provided by the Courses of Study 2017-2018.

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 segmentaion, 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.

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Enrollment Information
Syllabi: none
  •   Combined with: CS 4670

  • 3-4 Credits Stdnt Opt

  • 18039CS 5670  LEC 001

    • MWF
    • Hariharan, B

  • Enrollment limited to CIS students only. All others may add themselves to the waitlist during Add/Drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.

Enrollment Information
Syllabi: none
  •  

  • 3-4 Credits Graded

  • 12460CS 5670  LEC 030

  • Taught in NYC. Enrollment limited to: Cornell Tech students.