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Visualization
Typ: Wahlvorlesung
Semester: SS 2011
Umfang: 3V+1Ü
Studiengang:
Dozent: Prof. Dr. Thomas Ertl
Beschreibung:

Description

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 methods, 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)

Literature

  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

Course Material

Slides

Assignments

Note: to obtain access details mail Markus Üffinger (see below, Tutors)

 

Important

There is no lecture on Tue 17.5., Tue 31.5., Wed 1.6. , Tue 7.6., and in the last week of the lecture period (26. and 27.7.)!

Update: There will be lecture on Tue 26.7. ! (but not on 27.7.)

Bilder:
Internet-Seite:
Termine: Dienstag, 11:30 - 13:00 Uhr in V38.02
Mittwoch, 11:30 - 13:00 Uhr in V38.02
Übungen: Montag, 13:00 - 14:00 Uhr in V38.02
Montag, 14:00 - 14:45 Uhr in 0.363
Tutor: Dr. Filip Sadlo
Dipl.-Inf. Dr. Markus Üffinger
Dr. Dennis Thom
Dipl.-Inf. Bertram Thomaß

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