WCOMS4731-1: Computer Vision for Fall 2017

Days and Time

Tuesdays and Thursdays 10:10 AM-11:25 AM

Location

RTBA BTBA

Allowed For:

  • Undergraduate
  • Masters
  • Professional
  • PhD

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.

Notes:

None

Instructor:

Nayar, Shree K

Description

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.