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Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
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Verifiable visualization for isosurface extraction.

Tiago Etiene1, Carlos Scheidegger, L Gustavo Nonato

  • 1School of Computing, Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA. tetiene@cs.utah.edu

IEEE Transactions on Visualization and Computer Graphics
|October 17, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces methods to verify isosurface extraction codes, distinguishing physical anomalies from extraction artifacts. These techniques ensure reliable scientific visualization by assessing code accuracy and identifying implementation issues.

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Area of Science:

  • Scientific visualization
  • Computational science

Background:

  • Isosurface extraction is crucial in scientific and engineering visualization.
  • Ensuring the accuracy of isosurface features is vital for reliable data interpretation.

Purpose of the Study:

  • To develop and present techniques for assessing the behavior and accuracy of isosurface extraction codes.
  • To enable differentiation between physical process anomalies and extraction artifacts in visual representations.

Main Methods:

  • Deriving formulas for the expected order of accuracy (convergence rate) for isosurface features.
  • Comparing theoretical accuracy rates with experimentally observed results in selected isosurface extraction codes.
  • Analyzing code behavior under both normal and adverse operating conditions.

Main Results:

  • The proposed verification techniques successfully distinguished between physical and extraction-related anomalies in isosurface features.
  • The methods exposed actual implementation problems in two tested isosurface extraction codes.
  • A range of expected responses for isosurface techniques under various conditions was documented.

Conclusions:

  • The developed techniques contribute to verifiable visualization by applying rigorous verification to visualization algorithms.
  • Practitioners can use this information to select appropriate isosurface extraction methods with confidence in their behavior.
  • This work enhances the trustworthiness of visual representations in scientific and engineering applications.