Computer Graphics and
Scientific Computing
Thomas Sangild Sørensen
Course overview
•
Department of Computer Science
–
Introduction to computer graphics and image
processing (Q1)
–
Data
-
parallel computing (Q1)
–
Advanced image processing (Q2)
–
Advanced real
-
time graphics effects (Q2)
Dependencies
Q1
Q2
Contents
•
Data
-
parallel computing
–
“programming massively parallel systems”
–
The data
-
parallel programming language CUDA
–
Data
-
parallel concepts and algorithms
–
Examples and performance considerations of
data
-
parallel applications
Contents
•
Introduction to Computer Graphics and
Image Processing
–
Rendering using the conventional graphics
pipeline and OpenGL
–
Data structures for graphics
–
Linear operators for image processing
(convolution, Fourier transform, filtering)
–
Accumulative project implementation
Contents
•
Advanced real
-
time graphics effects
–
Graphics effects for modern games, e.g.
•
screen space effects for shadows
•
color reflections
•
anti aliasing
Contents
•
Advanced Image Processing
–
E.g. image reconstruction, filtering, segmentation,
and registration from
•
variational
calculus
•
partial differential equations
•
solving linear and non
-
linear systems of equations
Example of “image
deconvolution
”.
Top hit on Google images,
from the Hubble space telescope
Transition period Q&A
•
I already passed Peter
Møller
-
Nielsens
course
on introductory computer graphics, but would
like to join the advanced image processing
course
–
Should I sign up for the course “introduction to
computer graphics and image processing”?
–
Yes
. And you will be given an extra mandatory
assignment to replace the to computer graphics
contents with image processing material
Signal
Proceesing
and Computer
Vision @
Aarhus School of Engineering
Master Courses Q3/Q4 (5 ECTS)
•
Advanced Signal Processing and Analysis (Q3)
•
Non
-
linear Signal Processing and Pattern
Recognition
(Q3)
•
Computer Vision (Q4)
More info
:
•
Contact Ingeniørdocent Henrik Karstoft, ASE,
e
-
mail: hka@iha.dk
•
For
d
etails
on
these
courses
see
:
http
://www.iha.dk/Kursuskatalog
-
5044.aspx
Henrik Karstoft (
hka@iha.dk
)
Aarhus School of Engineering
In conclusion
•
A good selection of courses for specialization
in computer vision, imaging and graphics
•
Questions?
–
Come see me outside or contact me by email:
–
sangild@cs.au.dk
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