CS 5670

Last Updated

  • Schedule of Classes - June 18, 2018 7:14PM EDT
  • Course Catalog - June 14, 2018 7:15PM EDT

CS 5670
Introduction to Computer Vision

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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CS 4670

  • 4 Credits Stdnt Opt

  • 18039 CS 5670   LEC 001

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  • 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.

Syllabi: none

  •   Regular Academic Session. 

  • 3-4 Credits Graded

  • 12460 CS 5670   LEC 030

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  • Taught in NYC. Enrollment limited to Cornell Tech students. 4th credit option is only available to students who have successfully completed both CS 5356 and CS 5357, and students must obtain instructor approval. *Weill students must obtain instructor approval to enroll. Please send completed registration forms and instructor approval to studentservices@tech.cornell.edu. Add/drop dates: January 16th at 8 a.m. to February 7th at 4 p.m. Students will only be registered if space allows.