ENGR 027. Computer Vision

(Cross-listed as CPSC 072 )
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.
Prerequisite: ENGR 019  or CPSC 035 . MATH 027  or MATH 028S  is strongly recommended.
Natural sciences and engineering practicum.
1 credit.
Eligible for COGS.
Spring 2019. Zucker.
Spring 2020. Zucker.

Catalog chapter:  Engineering  
Department website: http://www.swarthmore.edu/engineering

Check the Spring 2018 Schedule of Courses

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