CS 5670

CS 5670

Course information provided by the Courses of Study 2023-2024.

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: (Ithaca only) CS 2110, CS 2800, MATH 2940 or equivalent, MATH 1920 or equivalent.  

View Enrollment Information

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

  • 4 Credits Opt NoAud

  •  9242 CS 5670   LEC 001

    • MWF Uris Hall G01
    • Jan 22 - May 7, 2024
    • Hariharan, B

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

  • 19490 CS 5670   PRJ 601

    • TBA
    • Jan 22 - May 7, 2024
    • Hariharan, B

  • Instruction Mode: In Person

Syllabi:
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  9201 CS 5670   LEC 030

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