Ruprecht-Karls-Universität Heidelberg
Siegel der Universität Heidelberg

Module for [Scientific Computing]

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[Volume Visualization] - [2014/15 Winter]

Module Code
Volume Visualization
Credit Points
8 CP
240 h
1 semester
Methods Lecture 2h + Exercise course 3h
Objectives To have a firm command of methods to represent complex scientific data, to interpolate and visualize it with volume rendering. In addition, a thorough understanding of accelerating and parallelizing the algorithms should be acquired.
Content 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
Learning outcomes 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.
Suggested previous knowledge Introduction into computer science I (IPI), programming course (IPK), algorithms & data structures (IAD);
Assessments Successful participation in exercises (50% correct solutions), successful examination (written or oral)
Literature Engel et al.: Real-Time Volume Graphics,
Schroeder et al.: VTK Textbook
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