CS 5670
Last Updated
- Schedule of Classes - February 7, 2022 11:35AM EST
- Course Catalog - January 18, 2022 1:31PM EST
Classes
CS 5670
Course Description
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 - 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: CS 2110, CS 2800.
Regular Academic Session. Combined with: CS 4670
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MWF Klarman Hall KG70
- Jan 24 - May 10, 2022
Instructors
Hariharan, B
-
Additional Information
Instruction Mode: In Person
Enrollment limited to CS MEng students only. All others, including early admits should add themselves to the waitlist during add/drop in January.
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
-
TR
Bloomberg Center 131
New York City Tech Campus - Jan 24 - May 10, 2022
Instructors
Snavely, N
-
TR
Bloomberg Center 131
-
Additional Information
Instruction Mode: In Person
Taught in NYC. Enrollment limited to Cornell Tech students.
Share
Disabled for this roster.