CS 6670

CS 6670

Course information provided by the 2022-2023 Catalog. Courses of Study 2022-2023 is scheduled to publish mid-June.

This course will introduce the core problems of computer vision and discuss both classical approaches based on the geometry and physics of image formation as well as current approaches based on recent advances in deep learning. Topics include stereopsis and 3D reconstruction, optical flow, image segmentation, object recognition, feature representations of images and patches, and convolutional networks.


Prerequisites/Corequisites Prerequisite: MATH 2210 or equivalent.

Last 4 Terms Offered (None)

When Offered Fall.

Comments Undergraduate-level understanding of algorithms.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  9717 CS 6670   LEC 001

    • TR
    • Aug 22 - Dec 5, 2022
    • Hariharan, B

  • Instruction Mode: In Person

    Seats reserved for graduate students. Professional and undergraduate students should add themselves to the waitlist during add/drop. See enrollment website for more details: https://www.cs.cornell.edu/courseinfo/enrollment/cs-6000-level-courses

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 19967 CS 6670   LEC 030

    • TR
    • Aug 22 - Dec 5, 2022
    • Hariharan, B

  • Instruction Mode: Distance Learning-Synchronous

    Taught in NYC, streamed from Ithaca. Enrollment Limited to Cornell Tech PhD Students only.