Mo 16:00 - 17:30, MI 02.13.010
This lecture is intended for Master students only. It is held in English language. Diploma students, please see the lecture "Scientific Visualization".
Note that the oral exam for COME students is now on the 15.2.2005 from 9am to 16pm. Please send email to firstname.lastname@example.org with your preferred time slot. CSE students please register directly at the showcase in room 02.13.051. Registration for COME students is open until 31.01.2005. A time table will be provided on this page.
The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Data generation will be addressed as well as the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data. Various examples will be given to outline the benefits of visualization techniques in practical applications. This course is regularly held in the winter term.
- Basics (visualization pipeline, data structures, data types)
- A key application to generate visualization data - flow simulation
- Geometry (triangulation, optimization)
- Filtering and data reconstruction
- Basic mapping techniques
- Volume visualization
- Vector field visualization
- Foley, Van Dam, Feiner, Hughes: Computer Graphics: Principles and Practice, Addison-Wesley, 2nd edition in C
- Watt, Watt: Computer Graphics, Addison-Wesley
- Glassner: Principles of digital image synthesis, Morgan Kaufman
- Encarnaçao, Klein, Strasser: Graphische Datenverarbeitung, 4. Auflage, Oldenburg Verlag
- Griebel, Bungartz, Zenger: Computer Graphik, Vieweg Verlag
- Nielson, Hagen, Müller: Scientific Visualization , IEEE Computer Society Press
- Schumann, Müller: Visualisierung - Grundlagen und allgemeine Methoden, Springer Verlag
- Gallagher: Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis, CRC Press
- Brodlie: Scientific Visualization - Techniques and Applications, Springer Verlag
- Earnshaw, Wiseman: An Introductory Guide to Scientific Visualization, Springer Verlag
There are no exercises for this lecture.
Lecture slides and programming