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Visualization
Typ: Wahlvorlesung
Semester: SS 2009
Umfang: 3V+1Ü
Studiengang: Diplom Informatik, Diplom Softwaretechnik, InfoTech
Dozent: Prof. Dr. Thomas Ertl
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)
Bilder:
Internet-Seite:
Termine: Dienstag, 11:30 - 13:30 Uhr in 38.02
Mittwoch, 11:30 - 13:30 Uhr in 38.02
Übungen: Montag, 15:45 - 16:30 Uhr in 38.02
Mittwoch, 16:30 - 17:15 Uhr in 38.02
Tutor: Dipl.-Inf. Dr. Julian Heinrich
Dipl.-Inf. Dr. Markus Üffinger

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