CMPE 537 Computer Vision

 

 

Instructor:  Lale Akarun

 

Course Hours: Thursday 567,  A6

Textbook: Computer Vision, Forsyth and Ponce, Prentice Hall, 2003.

 

 

Tentative Schedule:

 

1.      Introduction, human visual system, imaging geometry, camera calibration, image formation.

2.      Stereo, range, imaging devices, illumination.

3.      Basic image processing operations; edge detection

4.      Segmentation

5.      Representation: Feature extraction

6.      Object recognition

7.      Motion and tracking

8.      3D

 

 

Grading: Term Project 30 %, Homeworks 30 %, Final exam 40%.

Projects: There will be a term project. The students will prepare a survey related to the term project and give a short presenatation, by the fourth week of the semester. They will propose an implementation or simulation related to the topic and carry it out untill the last week. Then, the project presentations will be done the last week of the semester.

 

Homeworks: Homeworks are computer implementations of simple algorithms discussed in class. There will be 4-5 homeworks, assigned every 2 weeks.

 

 

Lecture notes:

 

Week 1 handout

Week 2 handout

Week 3 handout

Week 4 handout

Week 5 handout

Week 6 handout

Week 7 handout

Week 8 handout

Week 9 handout

Week 10 handout

Week 11 handout

 

 

 

FINAL EXAM 5/1/2008 15:00 A2

 

 

Projects:

useful link for image processing libraries:

reading for project 1

images:

grayscale: letters  baboon   barbara  goldhill  clown peppers

color: peppers lena 1 2 3 4 5 6 7 8 9

Homework 2 due Nov 13th use images containing straight lines such as goldhill

Homework 3 due Nov 27

Homework 4 due December 18 lips you may also use hands