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COS 429 - Computer Vision

Fall 2011

Course home Outline and lecture notes Assignments


News:
Dec 15  The final project presentations will be Thursday, Jan 12 and Monday, Jan 16. As a reminder, proposals are due Dec 16.
Dec 15  Lecture notes for today are available.
Dec 1  Assignment #4 is available. Due Dec 16.


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)


Questions

We will be using piazza for Q&A. Please post your questions there instead of mailing the Professor or TAs, if at all possible.


Instructor

Szymon Rusinkiewicz
CS Building, Room 406
258-7479
smr at cs
Office hours: M 3-4
 

TA

Thiago Pereira
CS Building, Room 414
258-7912
tpereira at cs
Office hours: F 11-12

TA

Yiming Liu
CS Building, Room 414
258-7912
yimingl at cs
Office hours: T 1-2

Undergrad Coordinator

Colleen Kenny-McGinley
CS Building, Room 210
258-1746
ckenny at cs


Last update 15-Dec-2011 13:48:52
smr at princeton edu