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A New Framework for Visualizing a Time-Varying Unstructured Grid Dataset with PBVR

  • Kun Zhao
  • Jun Nishimura
  • Naohisa Sakamoto
  • Koji Koyamada
Conference paper
Part of the Proceedings in Information and Communications Technology book series (PICT, volume 4)

Abstract

In this paper, we propose a new framework for a large-scale time-varying unstructured grid dataset visualization based on the Particle-Based Volume Rendering (PBVR). A previous rendering system can handle a time-varying grid dataset which is composed of only hundreds of thousands of unstructured grid cells. To overcome the limitation, we employed the PBVR in which the computational complexity of rendering is dominated not by the number of cells but by that of particles. Regardless of the number of cells, the PBVR can efficiently render a large-scale grid dataset by reducing particles in the location or the time frame which is not so important. In this system, we develop a hierarchical framework for managing the particles for efficient rendering. Moreover, by compressing the particle data, we also succeed in reducing the loading time of the whole time step particle data from the hard disk. We applied the system to rendering of 465 time steps of 3,676,828 hexahedral cell grid dataset to confirm the effectiveness.

Keywords

Graphic Process Unit Hard Disk Unstructured Grid Particle Generation Grid Dataset 
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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References

  1. 1.
    Kawamura, T., Sakamoto, N., Koyamada, K.: A Level-of-Detail Rendering of a Large-Scale Irregular Volume Dataset Using Particles. Journal of Computer Science and Technology 25(5), 905–915 (2010)CrossRefGoogle Scholar
  2. 2.
    Bernardon, F.F., Callahan, S.P., Comba, J.L.D., Silva, C.T.: An Adaptive Framework for Visualizing Unstructured Grids with Time-varying Scalar Fields. Parallel Computing 33(6), 391–405 (2007)CrossRefGoogle Scholar
  3. 3.
    Lum, E.B., Ma, K., Clune, J.: A Hardware-Assisted Scalable Solution for Interactive Volume Rendering of Time-Varying Data. IEEE Transactions on Visualization and Computer Graphics, 286–301 (2002)Google Scholar
  4. 4.
    Maximo, A., Marroquim, R., Farias, R.: Hardware-Assisted Projected Tetrahedra. Commputer Graphics Forum 29(3), 903–912 (2010)CrossRefGoogle Scholar
  5. 5.
    Sabella, P.: A Rendering Algorithm for Visualizing 3D Scalar Fields. Computer Graphics 22(4), 51–58 (1988)CrossRefGoogle Scholar

Copyright information

© Springer Tokyo 2012

Authors and Affiliations

  • Kun Zhao
    • 1
  • Jun Nishimura
    • 1
  • Naohisa Sakamoto
    • 2
  • Koji Koyamada
    • 2
  1. 1.Graduate School of EngineeringKyoto UniversityJapan
  2. 2.Institute for the Promotion of Excellence in Higher EducationKyoto UniversityJapan

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