CS 543 Computer vision

CS 543 Computer Vision

Administrative matters

Instructor: D.A. Forsyth, 3310 Siebel Hall, daf@uiuc.edu

Office hours: 14h30-15h30 Tue, Thur. However, I am usually in my office with the door open. You may consult me at any time (if I'm busy, I'll say so).

TA:Alex Sorokin, sorokin2@uiuc.edu

Meeting: Tue, Thur, 13h00-14h15, 305 MSEB

Evaluation: Homeworks, Project

Homework:

Homework 1, due 17 Feb 2009
Homework 2, due 16 Mar 2009
Homework 3, due 7 April 2009
Homework 4, due 28 April 2009

Project info:

Project startup documents, with deadlines

Textbook

Forsyth and Ponce cover

Slides from lecture

Week 1:
- Introduction and overview (gzipped tarfile of keynote, pdf)
- Cameras (gzipped tarfile of keynote, pdf)
Week 2:
- Radiometry (gzipped tarfile of keynote, pdf)
- Sources, Shadows and Shading, revised 29 Jan 09 (gzipped tarfile of keynote, pdf)
Week 3:
- Color (gzipped tarfile of keynote, pdf)
- Simple Filters (gzipped tarfile of keynote, pdf)
Week 4:
- Simple Filters (gzipped tarfile of keynote, pdf)
- Texture (gzipped tarfile of keynote, pdf)
Week 5:
- still using week 4's slides
- Segmentation (gzipped tarfile of keynote, pdf)
Week 6:
- Simple segmentation slides (gzipped tarfile of keynote, pdf)
- K-Means and EM (gzipped tarfile of keynote, pdf)
- Fitting (gzipped tarfile of keynote, pdf)
Week 7:
- Illness (no slides!)
- Used the fitting slides
Week 8:
- Finish the fitting slides
- Multiple views (gzipped tarfile of keynote, pdf)
Week 10:
- Tracking (gzipped tarfile of keynote, pdf)
  - The book chapter is out of date. Use this draft from 2e as a supplement (tracking chapter in pdf)
Week 12
- Human detection and tracking (gzipped tarfile of keynote, pdf)
  - There is no book chapter. Use this draft from 2e as a supplement (people chapter in pdf)
Week 13
- Object Recognition (materials by Alex Sorokin; powerpoint file; PDF of slides; PDF of handouts)
Week 14
- Registration (gzipped tarfile of keynote, pdf)
Week 15
- Image retrieval (gzipped tarfile of keynote, pdf)