College Bulletin 2014-2015 [ARCHIVED CATALOG]
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ENGR 027. Computer Vision
Computer vision studies how computers can analyze and perceive the world using input from imaging devices. Topics include line and region extraction, stereo vision, motion analysis, color and reflection models, and object representation and recognition. The course will focus on object recognition and detection, introducing the tools of computer vision in support of building an automatic object recognition and classification system. Labs will involve implementing both offline and real-time object recognition and classification systems.
Prerequisites: ENGR 015 or CPSC 035 . MATH 027 or MATH 028S is strongly recommended.
Natural sciences and engineering practicum.
(Cross-listed as CPSC 072 )
1 credit.
Spring 2015. Zucker.
http://www.swarthmore.edu/engineering
Engineering
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