Computer Graphics and Scientific Computing - Department of ...

rodscarletSoftware and s/w Development

Dec 14, 2013 (3 years and 10 months ago)

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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