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: [email protected]• For details on these courses see:
http://www.iha.dk/Kursuskatalog-5044.aspx
Henrik Karstoft ([email protected])
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:– [email protected]