Skip to main content

Interactive Direct Volume Rendering of Time-Varying Data

  • Conference paper

Part of the book series: Eurographics ((EUROGRAPH))

Abstract

Previous efforts aimed at improving direct volume rendering performance have focused largely on time-invariant, 3D data. Little work has been done in the area of interactive direct volume rendering of time-varying data, such as is commonly found in Computational Fluid Dynamics (CFD) simulations. Until recently, the additional costs imposed by time-varying data have made consideration of interactive direct volume rendering impractical. We present a volume rendering system based on a parallel implementation of the Shear-Warp Factorization algorithm that is capable of rendering time-varying 1283 data at interactive speeds.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. G. Abram and T. Whitted. Building block shaders. In Computer Graphics, pages 283–288, Dallas, TX, August 1990.

    Google Scholar 

  2. M. B. Amin, A. Grama, and V. Singh. Fast volume rendering using an efficient, scalable parallel formulation of the shear-warp algorithm. In Parallel Rendering Symposium, pages 7–14, Atlanta, GA, October 1995.

    Chapter  Google Scholar 

  3. B. Cabral, N. Cam, and J. Foran. Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. In Symposium on Volume Visualization, pages 91–97, Washington, D.C., October 1994.

    Chapter  Google Scholar 

  4. T.-C. Chiueh and K.-L. Ma. A parallel pipelined renderer for the time-varying volume data. Technical Report 97–90, ICASE, Hampton, VA, December 1997.

    Google Scholar 

  5. J. Clyne, T. Scheitlin, and J. Weiss. Volume visualizing high-resolution turbulence computations. Theoretical and Computational Fluid Dynamics, 1998.

    Google Scholar 

  6. R. A. Drebin, L. Carpenter, and P. Hanrahan. Volume rendering. Computer Graphics, 22 (4): 51–58, August 1988.

    Article  Google Scholar 

  7. K. Knittel and W. Straber. A compact volume rendering accelerator. In Symposium on Volume Visualization, pages 67–74, Washington, D.C., October 1994.

    Chapter  Google Scholar 

  8. P. Lacroute. Analysis of a parallel volume rendering system based on the shear-warp factorization. IEEE Transactions on Visualization and Computer Graphics, 2 (3): 218–231, September 1996.

    Article  Google Scholar 

  9. P. Lacroute and M. Levoy. Fast volume rendering using a shear-warp factorization of the viewing transformation. In Computer Graphics Proceedings, pages 451–458, Orlando, FL, July 1994.

    Google Scholar 

  10. P. G. Lacroute. Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation. PhD thesis, Stanford University, Stanford, CA, September 1995.

    Google Scholar 

  11. K.-L. Ma, J.S. Painter, C.D. Hansen, and M.F. Krogh. A data distributed parallel algorithm for ray-traced volume rendering. In Parallel Rendering Symposium, pages 15–19, San Jose, CA, October 1993.

    Chapter  Google Scholar 

  12. U. Neumann. Parallel volume-rendering algorithm performance on mesh-connected multicomputers. In Parallel Rendering Symposium, pages 97–104, San Jose, CA, October 1993.

    Chapter  Google Scholar 

  13. H. Pfister and A. Kaufman. Cube-4-a scalable architecture for real-time volume rendering. In Symposium on Volume Visualization, pages 47–54, San Francisco, CA, October 1996.

    Chapter  Google Scholar 

  14. J. Ritter. A fast approximation to 3d euclidian distance. In A. Glassner, editor, Graphics Gems, pages 432,433. Academic Press, 1990.

    Google Scholar 

  15. K. Sano; H. Kitajima, H. Kobayashi, and T. Nakamura. Parallel processing of the shear-warp factorization with the binary-swap method on a distributed-memory multiprocessor system. In Symposium on Parallel Rendering, pages 87–94, Phoenix, AZ, October 1997.

    Chapter  Google Scholar 

  16. H.-W. Shen and C. Johnson. Differential volume rendering: A fast volume visualization technique for flow animation. In Visualization ‘84, pages 180–187, Washington, D.C., October 1994.

    Google Scholar 

  17. R. Westermann and T. Ertl. Efficiently using graphics hardware in volume rendering applications. In Computer Graphics Proceedings, pages 169–177, Orlando, FL, 1998.

    Google Scholar 

  18. C. M. Wittenbrink and A.K. Somani. Permutation warping for data parallel volume rendering. In Parallel Rendering Symposium, pages 57–60, San Jose, CA, October 1993.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag/Wien

About this paper

Cite this paper

Clyne, J., Dennis, J.M. (1999). Interactive Direct Volume Rendering of Time-Varying Data. In: Gröller, E., Löffelmann, H., Ribarsky, W. (eds) Data Visualization ’99. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6803-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-6803-5_11

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83344-5

  • Online ISBN: 978-3-7091-6803-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics