Oct 30, 2020  
Rensselaer Catalog 2019-2020 
    
Rensselaer Catalog 2019-2020 [Archived Catalog]

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CSCI 4270 - Computational Vision


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.

Prerequisites/Corequisites: Prerequisites: CSCI 2300 and MATH 2010 or permission of instructor.

When Offered: Fall term annually.



Cross Listed: CSCI 6270. Students cannot receive credit for both CSCI 4270 and CSCI 6270.

Credit Hours: 4



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