CS 4670

CS 4670

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

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 segmentation, 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.


Prerequisites/Corequisites Prerequisite: CS 2110, CS 2800, MATH 1920 or equivalent and MATH 2310 or MATH 2940 or equivalent.

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

Distribution Category (SMR-AS)

When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 5670

  • 4 Credits Opt NoAud

  •  7240 CS 4670   LEC 001

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

      Ma, W

  • Instruction Mode: In Person

    Enrollment limited to: Computer Science students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10823 CS 4670   PRJ 601

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

      Ma, W

  • Instruction Mode: In Person