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CSCI-4270 - Computational Vision
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< meta property = "og:description" content = "The goal of this course is to introduce students to the problems, challenges, and applications of computer vision from a computational perspective. Topics include camera modeling and image formation, feature extraction, object and face recognition, image mosaic construction, stereo and three-dimensional imaging, motion, and tracking. Machine learning methods, including deep convolutional neural networks, will be studied and applied throughout the course." >
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Computational Vision
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CSCI-4270
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The goal of this course is to introduce students to the problems, challenges, and applications of computer vision from a computational perspective. Topics include camera modeling and image formation, feature extraction, object and face recognition, image mosaic construction, stereo and three-dimensional imaging, motion, and tracking. Machine learning methods, including deep convolutional neural networks, will be studied and applied throughout the course.
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4 credits
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Cross-listed with:
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< a class = "course-pill" href = "CSCI-6270.html" > CSCI-6270 Computational Vision< / a >
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Prereqs:
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< a class = "course-pill" href = "CSCI-2300.html" > CSCI-2300 Introduction to Algorithms< / a >
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one of:
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< a class = "course-pill" href = "MATH-2010.html" > MATH-2010 Multivariable Calculus and Matrix Algebra< / a >
< a class = "course-pill" href = "MATH-2011.html" > MATH-2011 Multivariable Calculus< / a >
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< a class = "course-pill" href = "MATH-2012.html" > MATH-2012 Matrix Algebra< / a >
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Past Term Data
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Offered
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Not Offered
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Offered as Cross-Listing Only
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Simple View
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Detailed View
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< th > < / th >
< th class = "spring season-label" > Spring< / th >
< th class = "summer season-label" colspan = "2" > Summer< / th >
< th class = "fall season-label" > Fall< / th >
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< th colspan = "2" > < / th >
< th class = "summer2 midsum-label" > (Session 1)< / th >
< th class = "summer3 midsum-label" > (Session 2)< / th >
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< th class = "year" > 2023< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2022< / th >
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Computational Vision (4c)
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< ul class = "prof-list" >
< li > Charles V Stewart< / li >
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Seats Taken: 60/70
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< td colspan = "2" class = "term summer not-offered" >
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< th class = "year" > 2021< / th >
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Computational Vision (4c)
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< li > Charles V Stewart< / li >
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Seats Taken: 43/100
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< td colspan = "2" class = "term summer not-offered" >
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< th class = "year" > 2020< / th >
< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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Computational Vision (4c)
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< li > Charles V Stewart< / li >
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Seats Taken: 56/66
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< th class = "year" > 2018< / th >
< td class = "term spring not-offered" >
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< div class = "view-container detail-view-container" >
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Computational Vision (4c)
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< ul class = "prof-list" >
< li > Charles V Stewart< / li >
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< span class = "course-capacity" >
Seats Taken: 65/66
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< th class = "year" > 2017< / th >
< td class = "term spring not-offered" >
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< td class = "term fall offered" >
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Computational Vision (4c)
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< ul class = "prof-list" >
< li > Charles V Stewart< / li >
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Seats Taken: 28/40
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< th class = "year" > 2016< / th >
< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term fall not-offered" >
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< td class = "term spring not-offered" >
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< td class = "term fall not-offered" >
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