CS 5670

CS 5670

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites CS 2110, CS 2800, MATH 1920 or equivalent and MATH 2310 or MATH 2940 or equivalent (Ithaca only).

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 4670

  • 3-4 Credits Opt NoAud

  •  5101 CS 5670   LEC 001

    • MWF
    • Jan 20 - May 5, 2026
    • Hariharan, B

      Ma, W

  • Instruction Mode: In Person

    Enrollment limited to: Master of Engineering (M.Eng.), Computer Science (CS) students, and Computer Science Early Admit students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  6889 CS 5670   PRJ 601

    • Jan 20 - May 5, 2026
    • Hariharan, B

      Ma, W

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 3-4 Credits Opt NoAud

  •  9069 CS 5670   LEC 030

    • TR
    • Jan 20 - May 5, 2026
    • Snavely, N

  • Instruction Mode: In Person

    Enrollment limited to: Cornell Tech students.