COS 429 - Computer Vision

Fall 2008 by Fei-Fei Li

Annoucements

10/14/2008: HW6 is up.

10/14/2008: HW4 is up.

10/14/2008: Homework 2 is graded. Please pick them up in front of COS418a or in class.

10/8/2008: slides and Shi & Malik, 2000 for lecture 9 are up.

10/5/2008: slides and Reading Materials for lecture 8 are up.

10/2/2008: Frontal Face classifier's XML files are up.

10/1/2008: slides for lecture 7 are up.

9/30/2008: slides for lecture 6 are up.

9/29/2008: Reading for lecture 5 and HW3 are up.

9/23/2008: Slides for the first evening session are up.

9/23/2008: Homework1 part 2 and homework2 are up.

9/22/2008: Slides for lecture 4 are up. And the first Evening tutorial will be hold on Tues, Sept 23, 7:30pm~8:30pm in Friend Center 202.

9/18/2008: Reading materials for lecture four are up in E-Reserves section on BlackBoard.

9/18/2008: Slides and reading materials for lecture three are up in Syllabus and lecture notes section.

9/15/2008: Slides for lecture two are up in Syllabus and lecture notes section.

9/15/2008: Please sign up to cos429 mailing list.

9/12/2008: Slides for lecture one and reading materials for lecture two are up in Syllabus and lecture notes section.

9/11/2008: Homework 1 is up.

9/3/2008: For non-CS major students, please apply for a CS class account. here.

Instructor: Prof. Fei-Fei Li

Office: 211 Computer Science Bldg.

Phone: (609) 258-8130

Email: feifeili @ cs

Office hour: Thurs 4:30-5:30pm

Guest instructors:

	Dr. Andras Ferencz	Dr. Harpreet Sawhney
	Director of Advanced Projects, Mobileye	Technical Director, Vision Technology Laboratory, Sarnoff

TA: Min Sun

Office: 215 Computer Science Bldg.

Phone: (609) 258-1794

Email:  msun @ cs

Office hour: Monday 10am-12pm or by appointment.

Course Description

An introduction to the concepts of 2D and 3D computer vision. Topics include: cameras and projection models, low-level image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from stereo. as well as high-level vision tasks such as object recognition, face detection and human motion categorization.

Prerequisites

Linear algebra

COS 217 and/or COS 226

Some knowledge of probability, statistics

Course mailing list: https://lists.cs.princeton.edu/mailman/listinfo/cos429

(Please join the mailing list as soon as possible. )

Course website: http://www.cs.princeton.edu/courses/archive/fall08/cos429/

Course location and time:

       Tuesday & Thursday, 3:00pm – 4:30pm, Room 302 CS Bldg

Text book:

suggested textbooks:

Multiple View Geometry in Computer Vision, 2nd Edition, by R. Hartley, and A. Zisserman, Cambridge University Press, 2004

Computer Vision: A Modern Approach, by D.A. Forsyth and J. Ponce, Prentice Hall, 2002.

Pattern Classification (2nd Edition), by R.O. Duda, P.E. Hart, and D.G. Stork, Wiley-Interscience, 2000.

Course assignments:

       6 homework

       1 final project

Grading policy:

       Attendance and class participation: 10%

       Homework: 40%

       Final project: 50% 

       Late policy: each student will have three free late (calendar) days for regular homework.

Important dates:

       Homework due dates (9/23, 9/30 10/14, 11/4, 11/18, 12/4)

       Final project prelim submission (12/12)

       Final project submissoin and write-up due (1/13/09)