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5.0
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1,000
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Would take again
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| Name | Grades | Rating | |||
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CS 4391 Ranran Feng | |||||
A | |||||
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CS 4391 Ranran Feng | |||||
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Grades: 3,444
Median GPA: A-
Mean GPA: 3.269
2.1
Professor rating
3.3
Difficulty
49
Ratings given
32%
Would take again
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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Grades: 3,444
Median GPA: A-
Mean GPA: 3.269
2.1
Professor rating
3.3
Difficulty
49
Ratings given
32%
Would take again
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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