CS 4670

CS 4670

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-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.

When Offered Spring.

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

Distribution Category (SMR-AS)

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

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

  • Instruction Mode: In Person