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COS 496 - Computer Vision |
Spring 2003 |
| Course home | Outline and lecture notes | Assignments |
An introduction to the concepts of 2D and 3D computer vision. Topics include: low-level image processing methods such as filtering and edge detection; segmentation and clustering; optical flow and tracking; shape reconstruction from stereo, motion, texture, and shading. Throughout the course, we also look at aspects of human vision and perception that guide and inspire computer vision techniques.
Prerequisites: Prerequisites for the course are COS 217 and COS 226. The course will require programming (in C, C++, and/or Matlab), as well as some background in data structures and linear algebra. Experience with statistics or computer graphics is useful but not necessary.
Grading: There will be four programming assignments worth a total of 65% of the final grade, as well as a final project worth 35%.
MW 3:00-4:20, Room 102
InstructorSzymon Rusinkiewicz |
Undergraduate CoordinatorTina McCoy |