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Element-partition-based methods for visualization of 3D unstructured grid data

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Abstract

Element-partition-based methods for visualization of 3D unstructured grid data are presented. First, partition schemes for common elements, including curvilinear tetrahedra, pentahedra, hexahedra, etc., are given, so that complex elements can be divided into several rectilinear tetrahedra, and the visualization processes can be simplified. Then, a slice method for cloud map and an iso-surface method based on the partition schemes are described.

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Authors and Affiliations

  1. Aeronautics Computing Technique Research Institute, 710068, Xi’an, P.R. China

    Wu Junsheng & Wu Guangmao

Authors
  1. Wu Junsheng
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  2. Wu Guangmao
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Additional information

This work is supported by Aeronautical Scientific Research Foundation of China.

Wu Junsheng received the M.Sc. degree in computer application software from Aeronautics Computing Technique Research Institute (ACTRI) in 1990, and the Ph.D. degree from Northwestern Polytechnic University in Xi’an in 1997. Now, he is a Professor of Computer Network and Management Information System Research Department in ACTRI. His research interests are CAD, computer graphics and scientific visualization.

Wu Guangmao graduated from Peking University in 1965. He is currently a Professor and a Chief Engineer of Aeronautics Computing Technique Research Institute, he is also a Chief Designer of Golden Aviation Engineering Project, Aviation Industries of China. His research interests are CAD, computer graphics, software engineering and computer network.

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Wu, J., Wu, G. Element-partition-based methods for visualization of 3D unstructured grid data. J. of Comput. Sci. & Technol. 13, 417–425 (1998). https://doi.org/10.1007/BF02948500

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  • DOI: https://doi.org/10.1007/BF02948500

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