Fakultät Informatik

Scientific Visualization

Prof. Dr. R. Westermann

Scientific Visualization

Time, Place

Thursday 13:45 - 16:00 MI HS 2

Begin:

20.10.2011

Prerequisites

none

This lecture is intended for students in Informatics (Diploma/Bachelor/Master), Computational Science and Engineering, Computational Mechanics, Computational Methods in Applied Science and Engineering. It is given in English.

Written Exam

The repetition of the written exam takes place on Thursday 5.4.2012 from 9am - 10.30am in MI02.13.010. Registration via tumonline is mandatory.

News

Inspection of the written exam will be on Monday 19.3.2012 at 9am in MI02.13.010.

Content

The focus of this introductory course is on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Data generation processes will be addressed as well as the visualization pipeline, data structures, mapping techniques and special rendering techniques for scientific data. Various examples will be given to outline the benefits of visualization techniques in practical applications. This course is regularly held in the winter term.

Course Topics

  • Introduction
  • Basics (visualization pipeline, data structures, data types)
  • Key application - medical imaging and computational fluid dynamics
  • Data reconstruction, interpolation, triangulation
  • Filtering techniques
  • Basic mapping techniques
  • Volume visualization
  • Vector field visualization
  • Terrain rendering

Literature

  • Foley, Van Dam, Feiner, Hughes: Computer Graphics: Principles and Practice, Addison-Wesley, 2nd edition in C
  • Watt, Watt: Computer Graphics, Addison-Wesley
  • Glassner: Principles of digital image synthesis, Morgan Kaufman
  • Encarnaçao, Klein, Strasser: Graphische Datenverarbeitung, 4. Auflage, Oldenburg Verlag
  • Griebel, Bungartz, Zenger: Computer Graphik, Vieweg Verlag
  • Nielson, Hagen, Müller: Scientific Visualization , IEEE Computer Society Press
  • Schumann, Müller: Visualisierung - Grundlagen und allgemeine Methoden, Springer Verlag
  • Gallagher: Computer Visualization: Graphics Techniques for Scientific and Engineering Analysis, CRC Press
  • Brodlie: Scientific Visualization - Techniques and Applications, Springer Verlag
  • Earnshaw, Wiseman: An Introductory Guide to Scientific Visualization, Springer Verlag

Lecture Slides and Programming

slides
 Datasets

 

News

Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.

 

PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.