[IVV] - [de] - [Volumenvisualisierung]


Volumenvisualisierung [2022 Sommer]
Code
IVV
Name
Volumenvisualisierung
LP
8
Dauer
one semester
Angebotsturnus
every summer semester
Format
Lecture 4 SWS + Exercise course 3 SWS
Arbeitsaufwand
240 h; davon
75 h Präsenzstudium
15 h Prüfungsvorbereitung
150 h Selbststudium und Aufgabenbearbeitung (evtl. in Gruppen)
Verwendbarkeit
M.Sc. Angewandte Informatik,
M.Sc. Data and Computer Science,
Sprache
English
Lehrende
Jürgen Hesser
Prüfungsschema
Lernziele The students
learn to understand how to use techniques of volume visualization to render complex scientific data.
This consists of the representation of data by surface or volume elements, the conversion of different representations and techniques of interpolation.
They further understand the physical principles of volume rendering, the different strategies of their realization with advantages and disadvantages – they should critically assess different techniques – and their parallelization.
Lerninhalte Introduction of the visualization of scientific data of natural sciences and bio-sciences
Discrete and continuous representation of data and methods of interpolation
Methods of conversion between surface- and volumerepresentations and their efficient realizations
Theory of volume rendering and their different realizations
Accelerating and parallelization of volume rendering
Programming technique: GPU-programming
Teilnahme-
voraus-
setzungen
recommended are: Introduction into computer science I (IPI), programming course (IPK), algorithms & data structures (IAD);
Vergabe der LP und Modulendnote The module is completed with a graded written exam. The final grade of the module is determined by the grade of the exam. The requirements for the assignment of credits follows the regulations in section modalities for exams.
Nützliche Literatur Engel et al.: Real-Time Volume Graphics www.real-time-volume-graphics.org,
Schroeder et al.: VTK Textbook http://www.kitware.com/products/books/vtkbook.html