CS 4670
Last Updated
- Schedule of Classes - September 22, 2025 1:06PM EDT
Classes
CS 4670
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-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.
Prerequisites CS 2110, CS 2800, MATH 1920 or equivalent and MATH 2310 or MATH 2940 or equivalent.
Distribution Requirements (SMR-AS)
Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP
Regular Academic Session. Choose one lecture and one project. Combined with: CS 5670
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Credits and Grading Basis
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: Computer Science students.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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