CS 5670
Last Updated
- Schedule of Classes - September 22, 2025 1:06PM EDT
Classes
CS 5670
Course Description
Course information provided by the 2025-2026 Catalog.
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.
Prerequisites CS 2110, CS 2800, MATH 1920 or equivalent and MATH 2310 or MATH 2940 or equivalent (Ithaca only).
Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP
Regular Academic Session. Choose one lecture and one project. Combined with: CS 4670
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Credits and Grading Basis
3-4 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- MWF
- Jan 20 - May 5, 2026
Instructors
Hariharan, B
Ma, W
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Additional Information
Instruction Mode: In Person
Enrollment limited to: Master of Engineering (M.Eng.), Computer Science (CS) students, and Computer Science Early Admit students.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
Regular Academic Session.
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Credits and Grading Basis
3-4 Credits Opt NoAud(Letter or S/U grades (no audit))
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