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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 4391 (Overall) | |||||
A- | |||||
CS 4391 Ranran Feng | |||||
A | |||||
CS 4391 Yu Xiang | |||||
B- | |||||
Not teaching in Spring 2026 | |||||
CS 4391 Crystal Maung | |||||
B+ | |||||
CS 4391 Yapeng Tian | |||||
B+ | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 4391 (Overall) | |||||
A- | |||||
CS 4391 Ranran Feng | |||||
A | |||||
CS 4391 Yu Xiang | |||||
B- | |||||
Not teaching in Spring 2026 | |||||
CS 4391 Crystal Maung | |||||
B+ | |||||
CS 4391 Yapeng Tian | |||||
B+ | |||||
Introduction to Computer Vision
CS 4391
Erik Jonsson School of Engineering and Computer Science
Techniques for manipulating and extracting information from digital images and video. Topics include color representations, analysis and processing based on image histograms, geometric transformations, convolutions, image blurring and sharpening, extraction of edges, matching, image and video motion. 3 credit hours.
Prerequisites: (CE 3345 or CS 3345 or SE 3345) or equivalent.
Offering Frequency: Each year
Grades: 668
Median GPA: A-
Mean GPA: 3.234
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Introduction to Computer Vision
CS 4391
Erik Jonsson School of Engineering and Computer Science
Techniques for manipulating and extracting information from digital images and video. Topics include color representations, analysis and processing based on image histograms, geometric transformations, convolutions, image blurring and sharpening, extraction of edges, matching, image and video motion. 3 credit hours.
Prerequisites: (CE 3345 or CS 3345 or SE 3345) or equivalent.
Offering Frequency: Each year
Grades: 668
Median GPA: A-
Mean GPA: 3.234
Click a checkbox to add something to compare.