Implementation and Evaluation of a Fish-Eye Lens for Interactive Visualization of Features in Volumetric Datasets

Klara Brandstätter
Implementation and Evaluation of a Fish-Eye Lens for Interactive Visualization of Features in Volumetric Datasets
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Abstract

The exploration of data visualisations has become an important task and already reaches beyond scientific purposes. Especially, in material sciences and related industries, data analysis is crucial for the detection of possible error sources or weak spots, that occurred during fabrication, to meet the required quality criteria. open_iA is an open source software that offers such data analysis of computed tomography material data. This thesis addresses the topic of data exploration by implementing and integrating a 2D fish-eye lens into open_iA. The fish-eye lens has been chosen due to its magnification characteristics, that provide focus and context at the same time. The distinct distortion of the fish-eye lens was achieved by applying a thin-plate spline (TPS2) transformation to the dataset. Beside the fish-eye lens, there exist many more magic lenses for different kinds of datasets and purposes, which will be introduced in a few words. Furthermore, the hard- and software requirements for the fish-eye lens as well as general design concepts are defined. Then, a detailed explanation of the thin-plate spline transformation and its algorithm is given and illustrated with example datasets and step-by-step calculations. Finally, the fish-eye lens is tested for its functionality and usability with material datasets.

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BibTeX

@bachelorsthesis{brandstaetter_01,
  title =      "Implementation and Evaluation of a Fish-Eye Lens for
               Interactive Visualization of Features in Volumetric Datasets",
  author =     "Klara Brandst{"a}tter",
  year =       "2017",
  abstract =   "The exploration of data visualisations has become an
               important task and already reaches beyond scientific
               purposes. Especially, in material sciences and related
               industries, data analysis is crucial for the detection of
               possible error sources or weak spots, that occurred during
               fabrication, to meet the required quality criteria. open_iA
               is an open source software that offers such data analysis of
               computed tomography material data. This thesis addresses the
               topic of data exploration by implementing and integrating a
               2D fish-eye lens into open_iA. The fish-eye lens has been
               chosen due to its magnification characteristics, that
               provide focus and context at the same time. The distinct
               distortion of the fish-eye lens was achieved by applying a
               thin-plate spline (TPS2) transformation to the dataset.
               Beside the fish-eye lens, there exist many more magic lenses
               for different kinds of datasets and purposes, which will be
               introduced in a few words. Furthermore, the hard- and
               software requirements for the fish-eye lens as well as
               general design concepts are defined. Then, a detailed
               explanation of the thin-plate spline transformation and its
               algorithm is given and illustrated with example datasets and
               step-by-step calculations. Finally, the fish-eye lens is
               tested for its functionality and usability with material
               datasets. ",
  month =      aug,
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/",
}