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Fall 2014 Computer Science W4731 section 001
COMPUTER VISION

Call Number 62548
Day & Time
Location
TR 10:10am-11:25am
750 Schapiro [SCEP]
Points 3
Approvals Required None
Instructor Shree K Nayar
Type LECTURE
Course Description Prerequisites: The 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, 2-D and 3-D object representation, object recognition, vision systems and applications.
Web Site CourseWorks
Department Computer Science
Enrollment 50 students (60 max) as of 11:28PM Tuesday, September 30, 2014
Subject Computer Science
Number W4731
Section 001
Division Interfaculty
Open To School of the Arts, Barnard, Columbia College, Engineering and Applied Science: Undergraduate, Engineering and Applied Science: Graduate, Graduate School of Arts and Science, General Studies, School of Continuing Education, Global Programs, International and Public Affairs
Campus Morningside
Section key 20143COMS4731W001

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SIS update 09/30/14 23:28    web update 10/01/14 15:08