CS 4670

CS 4670

Course information provided by the Courses of Study 2021-2022.

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.

Distribution Category (SMR-AS)

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: CS 5670

  • 4 Credits Opt NoAud

  • 10466 CS 4670   LEC 001

    • MWF Klarman Hall KG70
    • Jan 24 - May 10, 2022
    • Hariharan, B

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