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Efficient Selection of Representative Views and Navigation Paths for Volume Data Exploration

  • Eva Monclús
  • Pere-Pau Vázquez
  • Isabel Navazo
Part of the Mathematics and Visualization book series (MATHVISUAL)

Abstract

The visualization of volumetric datasets, quite common in medical image processing, has started to receive attention fromother communities such as scientific and engineering. The main reason is that it allows the scientists to gain important insights into the data. While the datasets are becoming larger and larger, the computational power does not always go hand to hand, because the requirements of using low-end PCs or mobile phones increase. As a consequence, the selection of an optimal viewpoint that improves user comprehension of the datasets is challenged with time consuming trial and error tasks. In order to facilitate the exploration process, informative viewpoints together with camera paths showing representative information on the model can be determined. In this paper we present amethod for representative viewselection and path construction, togetherwith some accelerations that make this process extremely fast on a modern GPU.

Keywords

Good View Kolmogorov Complexity View Selection Representative View Exploration Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Eva Monclús
    • 1
  • Pere-Pau Vázquez
    • 1
  • Isabel Navazo
    • 1
  1. 1.Modeling, Visualization, and Graphics Interaction GroupDep. LSI, Universitat Politècnica de Catalunya (UPC)BarcelonaSpain

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