1. Computer Graphics and Scientific Computing Thomas Sangild Sørensen

2. 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)

3. Dependencies Q1 Q2

4. 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

5. 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

6. Contents Advanced real-time graphics effects – Graphics effects for modern games, e.g. screen space effects for shadows color reflections anti aliasing

7. 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

8. 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

9. 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 details on these courses see: http://www.iha.dk/Kursuskatalog-5044.aspx Henrik Karstoft (hka@iha.dk) Aarhus School of Engineering

10. 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