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Fall 2019 Computer Science W4731 section H01
|Method of Instruction||Hybrid|
|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||85 students (90 max) as of 3:03PM Wednesday, February 19, 2020|
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