CYBR 357
Computer Vision for Immersive Systems
Kansas State University · UGRD · Fall 2026
1 section
Catalog description
Computer vision for immersive systems is a comprehensive course that explores how machines interpret visual data. This multidisciplinary subject combines elements of artificial intelligence, machine learning, image processing, and computational models to replicate human visual perception. Students delve into algorithms for object detection, facial recognition, and scene understanding, among others. Emphasizing both theoretical understanding and practical application, the course fosters innovation in areas like autonomous systems, robotics, extended and augmented reality.
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Availability not recently verifiedClass #kansas_2-2219Fall 2026UGRD- credits
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