COS 429 - Computer Vision

Fall 2005

News: Dec 13 Lecture notes for today are available Dec 15 No lecture or office hours. Dec 15 Final project proposals (submitted by email) are due. Dec 21 Final project notes: It is acceptable to use available code libraries for ancillary parts of your final project. Examples include image I/O, minimization algorithms... If you have questions about your project, feel free e-mail cos429@cs. Benedict will hold office hours by appointment during reading period.

Course Description

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 signal processing, statistics, and/or computer graphics is useful but not necessary.

Grading: There will be four programming assignments worth a total of 70% of the final grade, as well as a final project worth 30%.

Meeting time/place

TTh 3:00-4:20, CS Building, room 402

Instructor Szymon Rusinkiewicz CS Building, Room 406 258-7479 smr at cs Office hours: MW 3-4	TA Benedict Brown CS Building, Room 215 258-1794 bjbrown at cs Office hours: T 4:30-5:30 (4-5 when lecture gets out early), Th 2-3
Undergrad Coordinator Donna O'Leary CS Building, Room 410 258-1746 doleary at cs