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A real-time terrain visualization algorithm using wavelet-based compression

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Abstract

We propose a real-time terrain visualization algorithm combined with wavelet-based compression. Our approach updates a surface mesh model in real time by using wavelet coefficients and height data decoded from a compressed bitstream. To achieve this, a new mesh approximation method using restricted quadtree triangulation is designed on the basis of wavelet coefficients representing surface complexity. Also, a wavelet-based compression having a multiresolution structure is introduced to handle large terrain data interactively. Simulation results demonstrate that the proposed algorithm is prospective for applications in a network environment where narrow bandwidth and low computational power are usually allowed .

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References

  1. Antonini M, Barlaud M, Mathieu P, Daubechies I (1992) Image coding using wavelet transform. IEEE Trans Image Process 1:205–220

    Article  Google Scholar 

  2. Duchaineau M, Wolinsky M, Sigeti DE, Miller MC, Aldrich C, Mineev-Weinstein MB (1997) ROAMing terrain: real-time optimally adapting meshes. In: Proceedings of Visualization ’97, Phoenix, AZ, 19–24 October 1997, pp 81–88

  3. Evans W, Kirkpatrick D, Townsend G (2001) Right-triangulated irregular networks. Algorithmica 30:264–286

    Article  MathSciNet  MATH  Google Scholar 

  4. Gerstner T (1999) Multiresolution visualization and compression of global topographic data. Technical Report 29, Institut für Angewandte Mathematik, Universität Bonn, Germany

  5. Gross MH, Staadt OG, Gatti R (1996) Efficient triangular surface approximations using wavelets and quadtree data structures. IEEE Trans Vis Comput Graph 2:130–143

    Google Scholar 

  6. Gross MH, Lippert L, Staadt OG (1999) Compression methods for visualization. Future Generat Comput Sys 15:11–29

    Google Scholar 

  7. Hebert DJ, Kim HJ (1995) Image encoding with triangulation wavelets. In: Proceedings of SPIE ’95, San Diego, 12 July 1995, 2569:381–392

  8. Lindstrom P, Pascucci V (2001) Visualization of large terrains made easy. In: Proceedings of IEEE Visualization 2001, San Diego, 24–26 October 2001, pp 363–370, 574

  9. Lindstrom P, Koller D, Ribarsky W, Hodges L, Faust N, Turner GA (1996) Real-time, continuous level of detail rendering of height fields. In: Proceedings of SIGGRAPH ’96, New Orleans, 4–9 August 1996, pp 110–118

  10. Pajarola R (1998) Large scale terrain visualization using the restricted quadtree triangulation. In: Proceedings of Visualization ’98, Research Triangle Park, NC, 18–23 October 1998, pp 19–26

  11. Park K, Lee CS, Park HW (2002) A multiresolutional coding method based on SPIHT. Signal Process Image Commun 17:467–476

    Article  Google Scholar 

  12. Rabinovich B, Gotsman C (1997) Visualization of large terrains in resource-limited computing environments. In: Proceedings of Visualization ’97, Phoenix, AZ, 19–24 October 1997, pp 95–102

  13. Said A, Pearlman WA (1996) A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans Circuits Sys Video Technol 6:243–250

    Article  Google Scholar 

  14. Yu HJ, Ra JB (1999) Fast triangular mesh approximation of surface data using wavelet coefficients. Vis Comput 15:9–20

    Google Scholar 

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Correspondence to Jong Beom Ra.

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Kim, J., Ra, J. A real-time terrain visualization algorithm using wavelet-based compression. Visual Comp 20, 67–85 (2004). https://doi.org/10.1007/s00371-003-0233-z

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