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A Temporal Coherence Based Framework for Visualizing Time-Varying Unstructured Volume with PBVR

  • Kun Zhao
  • Naohisa Sakamoto
  • Koji Koyamada
Part of the Communications in Computer and Information Science book series (CCIS, volume 323)

Abstract

Time-varying visualization is always an important topic in the field of scientific visualization. Due to the large data size and complex grid, the unstructured time-varyingvisualization is still a hard problem. In this paper, we propose atemporal coherence based framework for visualizing large-scale time-varying unstructured volumewith the Particle-based volume rendering (PBVR).PBVR is a visibility sorting free rendering method, which can render a large-scale unstructured grid dataset efficiently. However, the pre-process of PBVR, which is to generate particles from the original volume, can always cost too much time. To overcome this problem, we utilize the temporal coherence between consecutive time steps to decrease the particle generation time.After the particle generation, we also compress the particle data before it is stored in hard disk. In account of the compressed data size, the loading time of the particle data during the rendering process is decreased obviously.And after the loading of the particle data, our system can render the data as an animation very smoothly by utilizing the LOD control of PBVR.We applied our system to rendering of 465 time steps of 3,676,828 hexahedral cell grid dataset to confirm the effectiveness.

Keywords

Hard Disk Temporal Coherence Previous Time Step Particle Generation Cell Table 
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
  6. 6.
    Guthe, S., Straßer, W.: Real-time decompression and visualization of animated volume data. In: Proceedings of IEEE Visualization Conference, pp. 349–356 (2001)Google Scholar
  7. 7.
    Lum, E.B., Ma, K.-L., Clyne, J.: A hardware-assisted scalable solution for interactive volume rendering of time-varying data. IEEE Transactions on Visualization and Computer Graphics 8(3), 286–301 (2002)CrossRefGoogle Scholar
  8. 8.
    Shen, H.-W., Johnson, C.R.: Differential volume rendering: A fast volume visualization technique for flow animation. In: Proceedings of IEEE Visualization Conference, pp. 180–187 (1994)Google Scholar
  9. 9.
    Roettger, S., Ertl, T.: A two-step approach for interactive pre-integrated volume rendering of unstructured grids. In: VolVis, pp. 23–28 (2002)Google Scholar
  10. 10.
    Moreland, K., Angel, E.: A fast high accuracy volume renderer for unstructured data. In: 2004 IEEE Symposium on Volume Visualization and Graphics, pp. 9–16 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kun Zhao
    • 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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