Rutgers University 3 credits Computer Science
This course introduces basic concepts and methodologies of computer vision, and focuses on material that is fundamental and has a broad scope of applications. Topics include contemporary developments in all mainstream areas of computer vision, e.g., image formation, feature representation, classification and recognition, motion analysis, camera calibration, stereo vision, Shape From X (shading, texture, motion, etc.), and typical applications such as biometrics. Prerequisite: 21:640:327.
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