COMPUTER VISION

Section

Professor

Shree Nayar

Course Information

Prerequisite: 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. An introductory course in computer vision. No previous knowledge of vision is assumed. The course will cover the fundamentals of vision with special emphasis on early processing and recovery techniques. 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.

Department: Computer Science(COMS)

Subject: Computer Science(COMS)

School: School of the Arts, Barnard College, Columbia College, School of General Studies, Graduate School of Arts and Sciences, School of International and Public Affairs, Continuing Education and Special Programs

Division: Interfaculty

Course ID: 4731