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Exploration and Visualization of Large-scale, Time-varying and Unstructured Volume Data

Exploration and Visualization of Large-scale, Time-varying and Unstructured Volume Data Lars Linsen, Ralph Bruckschen, Jaya Sreevalsan-Nair, Christof Nuber, Bernd Hamann, Kenneth I. Joy Center for Image Processing and Integrated Computing (CIPIC) University of California, Davis

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Exploration and Visualization of Large-scale, Time-varying and Unstructured Volume Data

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  1. Exploration and Visualization of Large-scale, Time-varying and Unstructured Volume Data Lars Linsen, Ralph Bruckschen, Jaya Sreevalsan-Nair, Christof Nuber, Bernd Hamann, Kenneth I. Joy Center for Image Processing and Integrated Computing (CIPIC) University of California, Davis Presentation at All-Hands Meeting ‘03 San Diego, CA March 18 - 21, 2003

  2. Volume data representation regular / structured irregular / unstructured imaging data (stack of images) simulated data (numerically computed) measured data (distributed sensors) + implicit grid connectivity + high adaptivity + implicit vertex positions applications advantages All-Hands Meeting '03

  3. Volume data representation regular / structured irregular / unstructured imaging data (stack of images) simulated data (numerically computed) measured data (distributed sensors) + implicit grid connectivity + high adaptivity + implicit vertex positions changing over time applications advantages All-Hands Meeting '03

  4. Overview • Wavelet-based multiresolution with subdivision • - regular • - provides high adaptivity • - time-varying • 2. Multiresolution over unstructured hexahedral grids • - irregular • Point-based high-resolution visualization • - regular / irregular • - simple rendering primitives All-Hands Meeting '03

  5. Overview • Wavelet-based multiresolution with subdivision • - regular • - provides high adaptivity • - time-varying • 2. Multiresolution over unstructured hexahedral grids • - irregular • Point-based high-resolution visualization • - regular / irregular • - simple rendering primitives All-Hands Meeting '03

  6. subdivision polyhedral shapes: All-Hands Meeting '03

  7. Downsampling filter w/o wavelets w/ wavelets Linear B-spline wavelet downsampling filter: Brain: 1050 x 970 x 753 original All-Hands Meeting '03

  8. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  9. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  10. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  11. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  12. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  13. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  14. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  15. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  16. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  17. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  18. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  19. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  20. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  21. Isosurface extraction w/ wavelets w/o wavelets Richtmyer-Meshkov instability: 1024 x 1024 x 1024 All-Hands Meeting '03

  22. subdivision Hypercube: 1 All-Hands Meeting '03

  23. subdivision All-Hands Meeting '03

  24. Time-varying volume data Argon bubble: 640 x 256 x 256 x 450 w/o wavelets w/ wavelets All-Hands Meeting '03

  25. Overview • Wavelet-based multiresolution with subdivision • - regular • - provides high adaptivity • - time-varying • 2. Multiresolution over unstructured hexahedral grids • - irregular • Point-based high-resolution visualization • - regular / irregular • - simple rendering primitives All-Hands Meeting '03

  26. Unstructured hexahedral grids Irregular multiresolution hierarchy: 2624 cells 824 cells 524 cells All-Hands Meeting '03

  27. Unstructured hexahedral grids Visualization via cutting planes (oil pressure): 2624 cells 824 cells 524 cells All-Hands Meeting '03

  28. Time-varying unstructured hexahedral grids Visualization via isosurfaces (oil concentration): All-Hands Meeting '03

  29. Overview • Wavelet-based multiresolution with subdivision • - regular • - provides high adaptivity • - time-varying • 2. Multiresolution over unstructured hexahedral grids • - irregular • Point-based high-resolution visualization • - regular / irregular • - simple rendering primitives All-Hands Meeting '03

  30. Point-based high-resolution visualization High-resolution visualization at interactive frame rates Bottleneck: Loading data from hard disk • Sort points by color value (color implicit, location stored) • Sort colors • Data encoding Rendering: • Point-based • Splatting All-Hands Meeting '03

  31. Point-based high-resolution visualization Human brain: 1050 x 970 x 753 All-Hands Meeting '03

  32. Point-based high-resolution visualization Visible Female Human (2048 x 1216 x 5186): All-Hands Meeting '03

  33. Conclusion • Exploration and visualization of • large-scale, • unstructured and/or • time-varying volume data • based on • multiresolution or • special storage scheme / data retrieval. All-Hands Meeting '03

  34. Acknowledgments • NPACI – SDSC, The Scripps Research Institute • CASC, Lawrence Livermore National Laboratory • Edward G. Jones, Center for Neuroscience, UC Davis • Mary Wheeler, Malgorzata Peszynska, TICAM, UT Austin • Arthur W. Toga, UCLA • Edward G. Jones, Center for Neuroscience, UC Davis • CASC, Lawrence Livermore National Laboratory • CCSE, Lawrence Berkeley National Laboratory • Victor M. Spitzer, National Library of Medicine All-Hands Meeting '03

  35. Contact Lars Linsen Center for Image Processing and Integrated Computing (CIPIC) Department of Computer Science University of California, Davis llinsen@ucdavis.edu http://graphics.cs.ucdavis.edu All-Hands Meeting '03

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