Computer Graphics and Scientific Computing - Department of ...

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