Detailed Course Information |
Fall 2024 Semester
Nov 21, 2024 |
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| CS 5330 - Pattern Recognition and Computer Vision |
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Introduces fundamental techniques for low-level and high-level computer vision. Examines image formation, early processing, boundary detection, image segmentation, texture analysis, shape from shading, photometric stereo, motion analysis via optic flow, object modeling, shape description, and object recognition (classification). Discusses models of human vision (gestalt effects, texture perception, subjective contours, visual illusions, apparent motion, mental rotations, and cyclopean vision). Requires knowledge of linear algebra.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Course Attributes: GSCS Computer & Info Science Restrictions: Must be enrolled in one of the following Programs: MS Data Science MSCS Computer Science - Align MS Robotics MSCS Computer Science MS Artificial Intelligence MS Data Science - Align Must be enrolled in one of the following Levels: Graduate Must be enrolled in one of the following Classifications: Graduate Prerequisites: Undergraduate level MATH 2331 Minimum Grade of D- or Graduate Admission REQ |
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