|
|
COMP 4900C: Introduction to Computer Vision Winter 2008 |
|
Instructors: |
Chang Shu, chang.shu@nrc-cnrc.gc.ca, www.scs.carleton.ca/~c_shu/ |
|
|
Gerhard |
Lectures: Tuesday and Thursday,
Office hours: Tuesday and Thursday,
TA: Stefanie Wuhrer, swuhrer@scs.carleton.ca
Office hours: Tuesday
Course Outline
This course introduces the basic ideas and techniques of computer vision. The central theme is reconstructing 3D models from 2D images. Topics include: image formation, image feature extraction, camera models, camera calibration, structure from motion, stereo, recognition, augmented reality, image searching.
Prerequisite: basic linear algebra and calculus, programming in C or C++.
Textbook: Introductory Techniques for 3-D Computer Vision, by Emanuele Trucco and Alessandro Verri
Marks
1. The final marks are here.
Tutorials
- A simple example for reading, displaying, converting to grayscale image, using OpenCV and Ch. The C code color2gray.c and the JPEG image fruit.jpg can be downloaded.
- A Hough transform demo can be found here.
Assignments
1. The first assignment can be downloaded here. It’s due
2. The second assignment can be downloaded here. It’s due
1. The third assignment can be downloaded here. The ch file skeleton that you should expand is in calibration-skeleton.ch. It’s due
1. The fourth assignment can be downloaded here. It’s due
Schedule
|
Lectures |
Topics |
Notes |
Readings |
|
|
Introduction |
Ch. 1 |
|
|
|
Review Linear Algebra |
|
|
|
|
Image Formation |
2.1, 2.2, 2.3.1 |
|
|
|
Camera Models |
2.4 |
|
|
|
Filtering I (getting to know images) |
3.1 |
|
|
|
Filtering II (Gaussian and impulsive noise models, convolution), 1st assignment out |
3.2 (skip 3.2.3) |
|
|
|
Filtering II (Gaussian and median filters), Image Features I (image gradient) |
4.1 |
|
|
|
Image Features I (edge detection) |
4.2.1, 4.2.3 |
|
|
|
Image Features II (corner detection) |
4.3 |
|
|
|
Image Features III (Hough transform), 1st assignment due |
5.1, 5.2.1 |
|
|
Feb. 12, 2008 |
Image Features IV (ellipse fitting), 2nd assignment out |
5.3 |
|
|
|
Review1 |
|
|
|
|
Break week |
|
|
|
|
Break week |
|
|
|
|
Mid-term 1 |
|
|
|
|
Camera calibration |
Chapter 6, excluding section 6.2 |
|
|
|
Simple stereo 2nd assignment due (March 4) and the 3rd assignment out |
7.1 |
|
|
|
Correspondence |
7.2 |
|
|
March 11, |
Epipolar geometry |
7.31 to 7.36 |
|
|
|
Rectification, |
7.37 |
|
|
|
Homography,3rd assignment due |
||
|
|
Reconstruction |
7.4 |
|
|
|
NO CLASS |
|
|
|
|
Review2 |
|
|
|
|
Review2 |
|
|
|
|
Midterm 2,4th assignment due |
|
|