NOTE: Course information changes frequently. Please re-visit these pages periodically for the most recent and up-to-date information.
Fall 2019 Computer Science W4731 section 001
|Day & Time
833 Seeley W. Mudd Building
|Method of Instruction||Classroom|
|Course Description||Prerequisites: Fundamentals of calculus, linear algebra, and C programming. Students without any of these prerequisites are advised to contact the instructor prior to taking the course. Introductory course in computer vision. Topics include image formation and optics, image sensing, binary images, image processing and filtering, edge extraction and boundary detection, region growing and segmentation, pattern classification methods, brightness and reflectance, shape from shading and photometric stereo, texture, binocular stereo, optical flow and motion, 2D and 3D object representation, object recognition, vision systems and applications.|
|Enrollment||112 students (120 max) as of 8:04AM Saturday, February 22, 2020|
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