Image based Information Processing

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


Textbook

David Forsyth and Jean Ponce,
Computer Vision: A Modern Approach,
Pearson Education, 2003.

Companion Website
Rafael Gonzalez and Richard Woods,
Digital Image Processing, 3rd edition,
Pearson Education, 2008.

Companion Website

Syllabus

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

Assessment

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.

Projects

Students committed to excellence are welcome to contact me for final project ideas.

Image Processign and Computer Vision Software

Matlab - Image Processing Toolbox
OpenCV (Open Source Computer Vision)

LIBSVM with Matlab interface.

Supplements

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.

Links

My Blog - Research on Search


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