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Page 1: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

Immersive Visualization of the Hurricane Isabel Dataset

Kenny Gruchalla and Jonathan Marbach

BP Center for Visualization

University of Colorado at Boulder

Page 2: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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A First Look

Page 3: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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BP Center for Visualization

Research in Visualization and Immersive Virtual Reality www.bpvizcenter.com

Page 4: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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The Immersive Drilling Planner (IDP)

A tool for planning oil and gas wells

Page 5: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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What does that have to do with the Contest?

We adapted the Immersive Drilling Planner (IDP) to load the Hurricane Isabel Dataset:

Added capabilities for time-varying volume and vector data Added timestep controls Added transfer function editing Added data probes …and we called it AtmosV!

Page 6: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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The Video

Available at www.jonmarbach.com/isabel

Page 7: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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AtmosV and the Contest

Contest Goals• Interactivity• Exploration• Fusion

Our Solution• Immersive, Real-time visualization (Performance does matter!)• Timestep control, Real-time Text Probes and Temperature Probes,

Dataset choice, Transfer function editing, Vector-plane selection• Simultaneous visualization of multiple characteristics

Page 8: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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Challenges

Performance/Memory Tradeoff (SGI Onyx 3800 vs Cluster)

Vector Volume size (Tried using RGBA encoded vectors and Vertex Texture Fetch – card/drivers aren’t quite ready)

Vector Volume size (Tradeoff between full data integration and full timestep display)

Downsampling (Tradeoff between quality and memory footprint)

What does it mean to be Immersed in a Volume?

Page 9: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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Acknowledgements

Geoff Dorn, Director, BP Center for Visualization Mercury Computer Systems (TGS, OpenInventor) NVidia The IEEE Vis Contest Committee

Page 10: Immersive Visualization of the Hurricane Isabel Dataset Kenny Gruchalla and Jonathan Marbach BP Center for Visualization University of Colorado at Boulder

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Contact Information

Jonathan Marbach

[email protected]

Kenny Gruchalla

[email protected]

BP Center for Visualization

University of Colorado

Campus Box 540

Boulder, CO 80309

www.jonmarbach.com/isabel


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