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Typ: Wahlvorlesung
Semester: SS 2010
Umfang: 3V+1Ü
Studiengang: Diplom Informatik, InfoTech, Diplom Softwaretechnik
Dozent: Prof. Dr. Thomas Ertl
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
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.  e-learning course
2.  assignments
3.  course notes

Termine: Dienstag, 11:30 - 13:00 Uhr in V38.02
Mittwoch, 11:30 - 13:00 Uhr in V38.02
Übungen: Montag, 15:45 - 17:15 Uhr in V38.02
Mittwoch, 15:45 - 17:15 Uhr in V38.02
Tutor: Dr. Filip Sadlo
Dipl.-Inf. Dr. Julian Heinrich
Dr. Steffen Koch

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