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Teaching …
SYDE677 - Computer Vision
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...»
Course Outline
Fall 2011
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Lecture Day: Tuesdays
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Time: 1:30PM — 4:20PM
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Location:5 6002
Marking Scheme
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Interim Report (10%)
Deadline Oct 25, 2011
One page (PDF emailed to the instructor): Name, ID, Title, Problem
description,
Approach, Justification (at least 3 pages about your project OR a
topic within CV)
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Class Contribution (10%)
10-15 minutes presentation, start of presentations: end of October
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Final Exam (20%)
10-20 questions related to lectures
(exam may be held during one of the last lectures)
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Project (60%)
Deadline: December 20, 2011 (midnight)
Source code: 5%, topic difficulty: 10%, Journal paper: 55%
[Journal Paper: Format - 2%, Organization - 3%, Background review
- 5%, Novelty
- 10%, Technical soundness - 5%, Results - 25%, References - 5%]
Project Deadline
Papers in IEEE format (PDF) should be submitted no later than December
20, 2010. The main part of your code should be included
as an appendix to the paper....IEEE
templates (Latex and Word)
Project Consultation Day
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Date: TBA
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Time: 1:00pm-6:00pm
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Location: Instrucrur’s office
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Description: The consultation office hours will be held short before
project submission
day (Dec 20). Students should come with a printed copy of their project
paper to get
advice before final submission.
Recommended Textbook
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Machine Vision
Third Edition: Theory, Algorithms, Practicalities (Signal Processing
and its Applications)
Author: E. R. Davie
Publisher: Morgan Kaufma
Number of Pages: 934
Published: 2005-01-05
ISBN-10: 0122060938
ISBN-13: 9780122060939
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Letcure Notes
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Textbooks
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Computer Vision and Applications
Bernd Jahne, Horst Haussecker |
| Machine Vision
Ramesh Jain, Rangachar Kasturi, Brian G. Schunck (Contributor)
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Image Processing:
Analysis and Machine Vision
Milan Sonka, Vaclav Hlavac, Roger Boyle |
| Computer Vision:
A Modern Approach
David A. Forsyth, Jean Ponce |
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Visual Perception
Steven Yantis (Editor)
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| Vision
David Marr |
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