Volume Visualization [2022/23 WiSe] | ||
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Code IVV |
Name Volume Visualization |
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LP 8 |
Dauer one semester |
Angebotsturnus every summer semester |
Format Lecture 4 SWS + Exercise course 3 SWS |
Arbeitsaufwand 240 h; thereof 75 h lecture 15 h preparation for exam 150 h self-study and working on assignments/projects (optionally in groups) |
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. |
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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 |
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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 examination. The final grade of the module is determined by the grade of the examination. The requirements for the assignment of credits follows the regulations in section modalities for examinations. | |
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 |