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Perceptually Based Rendering of Complex Time Varying Volumes

Project Abstract:

We as visualization scientists are experiencing a significant growth in the amount of data that we must process and prepare for visual analysis. The desire for user interactivity at real-time frame rates is increasing as well. However, it is not clear that existing methods for visualizing complex time varying phenomena have properly examined the amount of information that is being perceived by the end-user. This project is investigating a variety of methods that examine methods for effectively conveying maximum desired information while minimizing the amount of time that the computational and rendering resources are required.

TACC Project Lead: Kelly Gaither

Collaborators:

David Guzman, TACC, The University of Texas at Austin
Greg Johnson, TACC, The University of Texas at Austin
Bill Mark, Computer Science, The University of Texas at Austin
Don Fussell, Computer Science, The University of Texas at Austin

Supporting Grants:

Designing graphics systems of the future: Hardware architectures, software algorithms, and system interfaces for single chip parallel computers funded by Microsoft

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