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COS 429 - Computer Vision

Fall 2005

Course home Outline and lecture notes Assignments


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


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