Lecturers: Steve Maybank and Dell Zhang
Programme: MSc AIS and MRes CS
Time: Tuesday evenings 6pm - 9pm
Room: UCL Rockerfeller 333 (except for the Practical Lab Classes) [UCL Maps]
Teaching Assistant: Jinsong Lu (jlu AT ems DOT bbk DOT ac DOT uk)
Code: COIY045H7
Document: Module Specification
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David Forsyth and
Jean Ponce, Computer Vision: A Modern Approach Pearson Education, 2003. Companion Website |
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Rafael Gonzalez and Richard Woods, Digital Image Processing Pearson Education, 2008. Companion Website |
| Week | Date | Session I | Session II |
|---|---|---|---|
| 1-4 | 10/01/2012 17/01/2012 24/01/2012 31/01/2012 |
Please go to Steve's IBIP page | |
| 5 | 07/02/2012 | Colour | Colour |
| 6 | 14/02/2012 |
MATLAB Tutorial |
Texture |
| 7 | 21/02/2012 | Segmentation | Segmentation |
| 8 | 28/02/2012 | Practical Lab Class at MAL 403 [example] | |
| 9 | 06/03/2012 | Pattern Recognition | Pattern Recognition |
| 10 | 13/03/2012 | Practical Lab Class at MAL 403 [example] | |
| 11 | 20/03/2012 | Image Retrieval | Other Applications |
| -- | Tuesday 08/05/2012 6pm - 9pm |
Revision Lecture at MAL 255 |
|
Coursework: 20%
Assignment: To develop image segmentation programs in Matlab using k-means and normalised cut, carry out experiments to compare their performances, and submit
the source-code together with the documentation as well as the experiment report (about 2,000 words in total).
Normal deadline: Tue 27/03/2012 (11:55pm).
Cut-off deadline: Tue 10/04/2012 (11:55pm).
Penalty for late submission: a maximum mark of 50.
Method of submission: through Blackboard.
Please report any problem in submission to the Teaching Assistant.
Examination: 80%
Past exam papers can be found at Birkbeck eLibrary.
Students committed to excellence are welcome to contact me for final project ideas.
Matlab - Image Processing Toolbox
OpenCV (Open Source Computer Vision)
LIBSVM with Matlab interface.
Steve Maybank, Mathematical Concepts used in IBIP.
Forsyth David and Ponce Jean, An Introduction to Probability.
Steve Maybank, Data Research Methods in Computer Vision.
Dell Zhang, Machine Learning [Research Methods].
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 3rd edition, Prentice Hall, 2010. (Chapter 24: Perception)
Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval: The Concepts and Technology Behind Search, 2nd edition, Addison Wesley, 2010. (Chapter 14.1-3)
Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010. [Free Online Draft]
Jan Erik Solem, Programming Computer Vision with Python. [Free Online Draft]
Gary Bradski and Adrian Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library, O'Reilly, 2008.