Visualization

Übungen

  Organisatorisches    
SS 2009,  (Wahlvorlesung),  für Master of InfoTech / Softwaretechnik
3V+1Ü (Vorlesungen + Übungen)
Dozenten: Thomas Ertl   (Homepage)
Tutoren: Filip Sadlo  
Julian Heinrich  
Markus Üffinger  
Termine: Di   11:30  -  13:00    in V38.02   Vorlesung
Mi   11:30  -  13:00    in V38.02   Vorlesung
Mo   15:45  -  16:30    in V38.02   Übung
Mi   16:30  -  17:15    in V38.02   Übung
  Wichtige Hinweise    
no lecture on wednesday, 6.5.2009
no lecture on tue 9.6. and wed 10.06.2009
no exercises on Wed 10.06.2009 (The solution of assignment 5 is discussed on 17.06.2009).

no exercises on Wed 15.07.2009 (The solutions of assignment 9 and 10 are discussed on 22.07.2009).
  Beschreibung    
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)
  Literatur    
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
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
  Links    
1.  e-learning course
2.  assignments
3.  course notes

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