Computer Vision, CSE 399-001, Spring 2008
Tuesday/Thursday 4:30pm-6:00pm, Levine 315
Instructor: Jianbo Shi, GRW 466
This is an introduction course to computer vision, modeled after a similar course at CMU called “Computational Photography”. This course will explore three topics: 1) image morphing, 2) shape matching, and 3) image search. This course is intended to provide you a hands-on experience with interesting things to do on images/pixels.
The world is becoming image-centric. Camera are now found everywhere, in our cell phones, automobiles, even in medical surgery tools. Computer vision technology has lead to latest innovations in areas such as Hollywood movie production, medical diagnosis, biometrics, and digital library.
This course is suited for students with all Engineering background, who has the basic knowledge of linear algebra and programming, and a lot of imagination.
Grading Policy: 3 homeworks/projects 60%, Midterm 20%, Final Project 20%.
Final: Take home Final is out, due on Friday May 9, 1pm.
Recommended Textbook:
-
Computer Vision a Modern Approach, Forsyth and Ponce, Prentice Hall, 2003. (a complete textbook on computer vision)
-
Vision Science: Photons to Phenomenology, Stephen Palmer. (a great book to read)
Background knowledge required: Linear Algebra, Basic programming skill.
Related Web pages:
CSE 399b, Spring 2005 by Kostas Daniilidis: http://www.seas.upenn.edu/~cse399b/SP05/
A similar class at CMU with great slides by Alyosha Efors: http://graphics.cs.cmu.edu/courses/15-463/2004_fall/www/463.html
A fun to watch DVD on “Computer Vision, Fact & Fiction” by Serge Belongie: http://vision.ucsd.edu/cvd/
Class Schedule |
||
|---|---|---|
1/17 |
Introduction: pixels |
|
1/22 |
Image Formation, Camera Note PDF, |
â |
1/24 |
Image Feature: filtering Note PDF, |
|
1/29 |
Image Feature: edge detection |
|
1/31 |
Image Geometry: affine and projective transformation Note PDF |
|
2/5 |
 |
|
2/7 |
Image Geometry: mesh Notes PDF |
|
2/12 |
Image Geometry: morphing mesh. Note PDF |
|
2/14 |
 |
|
2/19 |
Image Feature: Image blending Note PDF |
|
2/21 |
Project Demo. Project 2 out |
|
2/26 |
Image Geometric Features: corners. Note |
|
2/28 |
Geometric Features: RANSAC Note |
|
3/4 |
Image Features: Texture |
|
3/6 |
Image Features: Color |
|
3/18 |
Project 2 morphing demo. Project 3 Mosaic starts. |
|
3/20 |
Geometric Features: Mosaic. |
|
3/24 |
Recogntion. Notes |
 |
3/27 |
Recognition: introduction Shape. Note |
|
4/1 |
Notes. Project 3 starts. Face Recognition. |
|
4/8 |
Recognition: Pictorial Objects. |
|
4/10 |
Recognition: Shape Context. |
 |
4/15 |
Face Detection. |
|
4/17 |
Recognition: Bag of features. Notes |
|
4/22 |
Recognition: Segmentation Notes |
|
4/24 |
Recognition: Scene and Texture |
|
4/29 |
||
5/5 |
Take home Final. Due May 9, 1pm. |
|