CS 5670

CS 5670

Course information provided by the Courses of Study 2021-2022.

An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world - including the 3D shape of an environment, the motion of objects, and the names of things - through analysis of digital images or videos. The course covers a range of topics, including low-level vision, 3D reconstruction, and object recognition, as well as key algorithmic, optimization, and machine learning techniques, including deep learning. This course emphasizes hands-on experience with computer vision and includes several programming projects.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: CS 2110, CS 2800.

View Enrollment Information

  •   Regular Academic Session.  Combined with: CS 4670

  • 4 Credits Opt NoAud

  • 10465 CS 5670   LEC 001

    • MWF Klarman Hall KG70
    • Jan 24 - May 10, 2022
    • Hariharan, B

  • Instruction Mode: In Person
    Enrollment limited to CS MEng students only. All others, including early admits should add themselves to the waitlist during add/drop in January.

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 10377 CS 5670   LEC 030

  • Instruction Mode: In Person
    Taught in NYC. Enrollment limited to Cornell Tech students.