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Introduction to Computer Vision
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: 612
Median GPA: A-
Mean GPA: 3.240
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Introduction to Computer Vision
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: 612
Median GPA: A-
Mean GPA: 3.240
Click a checkbox to add something to compare.
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 4391 (Overall) | |||||
A- | |||||
CS 4391 Ranran Feng | |||||
A | |||||
CS 4391 Crystal Maung | |||||
B+ | |||||
CS 4391 Yapeng Tian | |||||
B+ | |||||
CS 4391 Yu Xiang | |||||
B- | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 4391 (Overall) | |||||
A- | |||||
CS 4391 Ranran Feng | |||||
A | |||||
CS 4391 Crystal Maung | |||||
B+ | |||||
CS 4391 Yapeng Tian | |||||
B+ | |||||
CS 4391 Yu Xiang | |||||
B- | |||||