Information
- Publication Type: Master Thesis
- Workgroup(s)/Project(s):
- Date: October 2011
- First Supervisor:
Abstract
There are several techniques, that can be used to visualize volumetric data. A data set
can be illustrated using slicing (depicting arbitrary slices through the volume), direct
volume rendering (DVR), or in a more abstract way, histograms and scatter plots. Usually
these different methods of visualization are being applied separately. To recognize
coherencies between the representations, methods based on Linking and Brushing can
be utilized. These methods highlight voxels in one view, as soon as they are selected in
another one. Coming from scientific visualization, these methods are very useful, when
selecting voxels from 2D data representations, like scatter plots. Of course they are
less useful, when trying to select voxels directly from the volume. Therefore this thesis
explored methods, that are not based on selection and highlighting. Rather, the correlation
between different representations is shown by moving voxels between different
volume representations. As a basis, methods like staggered animation, acceleration, and
deceleration were adopted, which had been previously used in the graphical analysis of
statistical data.
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BibTeX
@mastersthesis{Basch_2011_ATA,
title = "Animated Transitions Across Multiple Dimensions for
Volumetric Data",
author = "Christian Basch",
year = "2011",
abstract = "There are several techniques, that can be used to visualize
volumetric data. A data set can be illustrated using slicing
(depicting arbitrary slices through the volume), direct
volume rendering (DVR), or in a more abstract way,
histograms and scatter plots. Usually these different
methods of visualization are being applied separately. To
recognize coherencies between the representations, methods
based on Linking and Brushing can be utilized. These methods
highlight voxels in one view, as soon as they are selected
in another one. Coming from scientific visualization, these
methods are very useful, when selecting voxels from 2D data
representations, like scatter plots. Of course they are less
useful, when trying to select voxels directly from the
volume. Therefore this thesis explored methods, that are not
based on selection and highlighting. Rather, the correlation
between different representations is shown by moving voxels
between different volume representations. As a basis,
methods like staggered animation, acceleration, and
deceleration were adopted, which had been previously used in
the graphical analysis of statistical data.",
month = oct,
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
school = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology ",
URL = "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/",
}