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Advanced Visualization Environments: Knowledge-Based Image Modeling

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Visualization in Supercomputing

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Abstract

A highly interactive Visualization Environment to aid in the visualization, teleconferencing and modeling of massive volumetric data sets is described. The Visualization Environment is designed for applications requiring intensive visualization, image analysis, and geometric modeling. Applications include the interpretation of seismic data in the geosciences, space exploration and astrophysics, molecular modeling, medical imaging, brain mapping, computational fluid dynamics, and microelectronic field modeling.

Three critical aspects of volume visualization and modeling are discussed:

  1. 1.

    The central importance of object-oriented descriptions for visualization and modeling environments;

  2. 2.

    Dynamic finite element modeling of primitive objects in 3D imagery; and

  3. 3.

    Constraint-based assembly of complex models from a set of primitive object models.

The pilot Visualization Environment serves as a testbed for the development and evaluation of these key scientific visualization tools.

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Author information

Authors and Affiliations

  1. Visualization Laboratory Department of Computer Science, Texas A&M University, College Station, TX, 77843-3112, USA

    Bruce H. McCormick

Authors
  1. Bruce H. McCormick
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Editor information

Editors and Affiliations

  1. Institute for Supercomputing Research, 15F Inui Building Kachidoki, 1-31-1 Kachidoki, 104, Chuo-ku, Tokyo, Japan

    Raul H. Mendez

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© 1990 Springer-Verlag New York, Inc.

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McCormick, B.H. (1990). Advanced Visualization Environments: Knowledge-Based Image Modeling. In: Mendez, R.H. (eds) Visualization in Supercomputing. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3338-1_9

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  • DOI: https://doi.org/10.1007/978-1-4612-3338-1_9

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7971-6

  • Online ISBN: 978-1-4612-3338-1

  • eBook Packages: Springer Book Archive

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