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COS 429 - Computer Vision

Fall 2005

Course home Outline and lecture notes Assignments

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


Szymon Rusinkiewicz
CS Building, Room 406
smr at cs
Office hours: MW 3-4


Benedict Brown
CS Building, Room 215
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
doleary at cs

Last update 29-Dec-2010 12:00:22
smr at princeton edu