Fakultät Informatik

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Scientific Visualization

 Joachim Georgii

 Scientific Visualization (Vis)

Time, Place

Mo 15:30 - 18:00 MI 00.13.009A

Begin:

22.10.2007

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 held in English language.

Exams

Written examination for COME/CSE/other (2 SWS, lecture until christms): 04.02.2008, 16:00 - 18:00, Room MW 1250
(Closed-book exam - you only need a black/blue pen, 75 minutes)
Copy of exam
Results are available from the  Mytum portal
Oral examination for Informatik/Technomathemtik/other (3 SWS, complete lecture): 13.02.2008
Re-examination (oral) on Wednesday, 09.04.2008 (Get a time slot in the showcase close to room 02.13.052 or send email to me)

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
  • Geometry (triangulation, optimization)
  • Filtering and data reconstruction
  • Basic mapping techniques
  • Volume visualization
  • Vector field visualization

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

Exercises

There are no exercises for this lecture.

Lecture slides and programming

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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.