CS 5670

CS 5670

Course information provided by the Courses of Study 2018-2019.

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.

Comments Co-meets with CS 4670 (four credit version only).

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

  • 4 Credits Stdnt Opt

  • 12500CS 5670  LEC 001

  • 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: 1 available
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 12180CS 5670  LEC 030

  • Taught in NYC. Enrollment limited to Cornell Tech students.*Weill students must obtain instructor approval to enroll. Please send completed registration forms and instructor approval to studentservices@tech.cornell.edu. Students will only be registered if space allows.