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: Either ENGR 019  or ENGR 056 , or permission of the instructor. MATH 027  or MATH 028  is recommended.
Natural sciences and engineering practicum.
1 credit.
Eligible for COGS.
Spring 2023. Phillips.
Spring 2024. Zucker.
Spring 2025. Phillips.
Catalog chapter: Engineering  
Department website: http://www.swarthmore.edu/engineering

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