Vorlesung: Scientific Visualization


  • Dozent(en):
  • Beginn: 19. April 2004
  • Zeiten: Di. 17:00-18:30 und Do. 9:00-10:00, HS 1 (Di.) und N1001 (Do.)
  • Studiengang: Diplom (Hauptstudium)
  • Diplom-Fachgebiet: B



Scientific Visualization deals with all aspects that are connected with the visual representation of (huge) data sets from scientific experiments or simulations in order to achieve a deeper understanding or a simpler represenation of complex phenomena. This lecture introduces the main concepts of scientific visualization. Based on the visualization pipeline and the classification of mapping methodes, visualization algorithms and data structures for various kinds of applications and scenarios will be presented. Among the topics of this lecture are: usage of color in scientific visualization, huge geometric models (such as terrain models, finite element models from car industry), cartesian 3D scalar fields (such as medical CT-data), unstructured 3D vector fields (e.g., from computational fluid dynamics), tensor fields and information visualization (such as tables or graphs).

By solving small programming exercises practical experience in visualisation will be gained. Furthermore there are assignments where visualisation systems (e.g., AVS) will be used to solve small visualization tasks.

Übungen: 1 SWS, Termin wird in Vorlesung bekanntgegeben.



Übung 1: Data Types and Data Structures
Übungsblatt  (PDF-Dokument, 95 KB)
Übung 2: Interpolation and Differentiation
Übungsblatt  (PDF-Dokument, 95 KB)
Übung 3: Fourier Analysis and Sampling Theoreme
Übungsblatt  (PDF-Dokument, 158 KB)
Übung 4: Height Fields and Color Coding
Übungsblatt  (PDF-Dokument, 93 KB)
Übung 5: Glyphs and Icons
Übungsblatt  (PDF-Dokument, 90 KB)
Übung 6: Volume Visualization
Übungsblatt  (PDF-Dokument, 78 KB)

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