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COS 429 - Computer Vision

Fall 2009

Course home Outline and lecture notes Assignments


News:
Dec 14  Lecture notes for today are available.
Dec 10  Final project is up.
Dec 18  Assignment 4 is due.


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; classification and recognition. 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 105 (small auditorium)


Instructor

Szymon Rusinkiewicz
CS Building, Room 406
258-7479
smr at cs
Office hours: M 11-12, W 5-6
 

TA

Linjie Luo
CS Building, Room 418A
linjiel at cs
Office hours: T 4:30-5:30, Th 2-3

Undergrad Coordinator

Donna O'Leary
CS Building, Room 210
258-1746
doleary at cs


Last update 29-Dec-2010 11:53:38
smr at princeton edu