Teaching …
SYDE677 - Computer Vision (Fall 2006)

Course Description

This course introduces the fundamental concepts for computer vision which include conventional topics such as sensing and image formation; early processing; image segmentation, 2-D and 3-D shape representation, analysis and synthesis; recognition and location of objects; automated visual inspection; robotic vision. The application of machine intelligence technologies for developing innovative computer vision algorithms will be a major focal point of the course.

Lectures

Time: Mondays 1:30 pm - 4:20 pm
Location: 1303E

Office Hours

Mondays after lectures (in-class)
Wednesdays 2:00 pm - 3:00 pm, DC2637

Course Topics

List of weekly lecture topics

Assignments

The assignments are designed for students with no prior experience with Matlab.

Assignment #1 - done
Assignment #2 - done
Assignment #3 - done
Assignment #4 - deadline: Oct 23
Assignment #5 - Deadline Oct 30
Assignment #6

Lecture Notes

Marking Scheme

Assignments: 20%
Class Presentation: 10%
Project: 70%
[Source code: 5%, topic difficulty: 10%, Journal paper: 55%]
Deadline: TBD

Textbooks

	Computer Vision and Applications Bernd Jahne, Horst Haussecker
Machine Vision Ramesh Jain, Rangachar Kasturi, Brian G. Schunck (Contributor)
	Image Processing: Analysis and Machine Vision Milan Sonka, Vaclav Hlavac, Roger Boyle
Computer Vision: A Modern Approach David A. Forsyth, Jean Ponce
	Visual Perception Steven Yantis (Editor)
Vision David Marr