SS 2008,  (Wahlvorlesung),  für Master of InfoTech / Softwaretechnik
3V+1Ü (Vorlesungen + Übungen)
Dozenten: Daniel Weiskopf   (Homepage)
Tutoren: Christiane Taras  
Joachim Vollrath  
Sven Bachthaler  
Termine: Di   11:30  -  13:00    in V38.02   Lecture
Mi   11:40  -  13:10    in V38.02   Lecture
Mi   15:45  -  16:45    in V38.02   Exercises
  Wichtige Hinweise    
Due to overlap with another course, the lecture begins 10 minutes later on Wednesdays, i.e. the lecture times are 11:40-13:10 on Wednesdays. All other scheduling is unaffected.

The first lecture is on: Tue, 22-April-2008, there is no class in the week 14-Apr - 18-Apr.

The lecture on Tue, 27-May-2008 has been cancelled.
Visualization deals with all aspects that are connected with the visual representation of data sets from scientific experiments, simulations, medical scanners, databases and the like in order to achieve a deeper understanding or a simpler representation of complex phenomena. To obtain this goal, both well-known techniques from the field of interactive computer graphics and completely new methods are applied. The objective of the course is to provide knowledge about visualization algorithms and data structures as well as acquaintance with practical applications of visualization. Based on the visualization pipeline and the classification of mapping methodes, this course will present visualization algorithms and data structures for various kinds of applications and scenarios.

Topics of this course are:
  • Introduction, historical remarks, visualization pipeline
  • Data acquisition and representation (sampling and reconstruction; grids and data structures)
  • Human visual perception
  • Basic mapping concepts
  • Visualization of scalar fields (isosurface extraction, volume rendering)
  • Visualization of vector fields (particle tracing, texture-based methods, vector field topology)
  • Tensor fields, multi-attribute data, multi-field visualization
  • Information visualization (high-dimensional data, tables, interaction techniques, trees, graphs)
1.  The visualization handbook, C.D. Hansen, C.R. Johnson (eds.), Elsevier, 2005
2.  Visualisierung. Grundlagen und allgemeine Methoden, Schumann, Müller
3.  Scientific visualization: overviews, methodologies, and techniques, G. Nielson, H. Hagen, H. Mueller (eds.), IEEE Computer Society, 1997
4.  Information visualization: perception for design, C. Ware, Elsevier/Morgan Kaufmann, 2004, 2nd ed.
5.  Real-time volume graphics, K. Engel, M. Hadwiger, J. M. Kniss, C. Rezk-Salama, D. Weiskopf, A K Peters, 2006
6.  GPU-based interactive visualization techniques, D. Weiskopf, Springer, Berlin, 2006
1.  Course notes SS08 (slides)
2.  Assignments
3.  Old course notes ss07 (slides)
4.  e-learning course

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