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MSc VIVE Resources
This page contains some recommended reading before for
prospective students before starting the MSc VIVE.
However, that material is also useful for current
students. It also contains some online resources and
repositories of information you will find useful
throughout the course.
Recommended reading before you come
This is a nice general book on image processing,
machine vision and computer graphics to give you a good
taste of the course content:
 | The Computer Image
by Alan H. Watt and Fabio Policarpo |
This book is great for getting you up to speed with the
maths requirement of the course:
 | Engineering Mathematics 5th ed (Paperback)
by Dexter J. Booth (Editor), K.A. Stroud (Author) |
We recommend you read and work through the problems in
chapters:
1. Complex Numbers 1
2. Complex Numbers 2
4. Determinants
5. Matrices
6. Vectors
7. Differentiation
10. Partial Differentiation 1
11. Partial Differentiation 2
15. Integration 1
16. Integration 2
24. First order differential equations
25. Second order differential equations
This is good introduction to Matlab, which is the main
programming environment on the course:
 | Getting Started with MATLAB 7: A
Quick Introduction for Scientists and Engineers by
Rudra Pratap |
However, the Matlab help pages are also very good and you
may find you can just work through them without needing a
book.
Other Revision Material
Bernard Buxton has prepared some material to help you
get up to speed with the mathematics required on the MSc
VIVE. Even if you are confident about your mathematics,
we recommend you take the time to review this material
over the summer before you begin the course. Follow this link.
Greg Turk at the Georgia Institute of Technology
provides a list of mathematics subjects that are used
in computer graphics and machine vision.
It is also a good idea to practise your programming
before you start, especilly if you have are inexperienced
or have not programmed for some time.
General online vision, graphics and other material
CV
online contains a large body of teaching material,
mainly for computer vision and related subjects, collected
from universities around the country. This site contains
links to several other similar resources too.
Mathematica Home
Page provides information about Mathematica.
Matlab Home
Page provides information about matlab releases and
documentation.
MathWorld -
All the maths you need to know but were afraid to ask.
ScienceWorld -
Wider coverage of general science including physics,
chemistry, biology, astronomy and more.
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