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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

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

volume data representation
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

volume data representation3
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

overview
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

overview5
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

subdivision
subdivision

polyhedral shapes:

All-Hands Meeting '03

downsampling filter
Downsampling filter

w/o wavelets

w/ wavelets

Linear B-spline wavelet

downsampling filter:

Brain: 1050 x 970 x 753

original

All-Hands Meeting '03

isosurface extraction
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction9
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction10
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction11
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction12
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction13
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction14
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction15
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction16
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction17
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction18
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction19
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction20
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

isosurface extraction21
Isosurface extraction

w/ wavelets

w/o wavelets

Richtmyer-Meshkov instability: 1024 x 1024 x 1024

All-Hands Meeting '03

subdivision22
subdivision

Hypercube:

1

All-Hands Meeting '03

subdivision23
subdivision

All-Hands Meeting '03

time varying volume data
Time-varying volume data

Argon bubble: 640 x 256 x 256 x 450

w/o wavelets

w/ wavelets

All-Hands Meeting '03

overview25
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

unstructured hexahedral grids
Unstructured hexahedral grids

Irregular multiresolution hierarchy:

2624 cells 824 cells 524 cells

All-Hands Meeting '03

unstructured hexahedral grids27
Unstructured hexahedral grids

Visualization via cutting planes (oil pressure):

2624 cells 824 cells 524 cells

All-Hands Meeting '03

time varying unstructured hexahedral grids
Time-varying unstructured hexahedral grids

Visualization via

isosurfaces

(oil concentration):

All-Hands Meeting '03

overview29
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

point based high resolution visualization
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

point based high resolution visualization31
Point-based high-resolution visualization

Human brain: 1050 x 970 x 753

All-Hands Meeting '03

point based high resolution visualization32
Point-based high-resolution visualization

Visible Female Human

(2048 x 1216 x 5186):

All-Hands Meeting '03

conclusion
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

acknowledgments
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

contact
Contact

Lars Linsen

Center for Image Processing and Integrated Computing (CIPIC)

Department of Computer Science

University of California, Davis

[email protected]

http://graphics.cs.ucdavis.edu

All-Hands Meeting '03

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