CS 5670

CS 5670

Course information provided by the Courses of Study 2024-2025.

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, MATH 1920 or equivalent and MATH 2310 or MATH 2940 or equivalent (Ithaca only).

View Enrollment Information

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

  • 4 Credits Opt NoAud

  •  7239 CS 5670   LEC 001

    • MWF
    • Jan 21 - May 6, 2025
    • 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/

  • 10824 CS 5670   PRJ 601

    • TBA
    • Jan 21 - May 6, 2025
    • Hariharan, B

      Ma, W

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits GradeNoAud

  • 19551 CS 5670   LEC 030

    • TR
    • Jan 21 - May 6, 2025
    • Snavely, N

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