Scientific Visualization in Immersive Environments

11/17/1999


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Table of Contents

Scientific Visualization in Immersive Environments

Acknowledgements

Roadmap

The Purpose of Computing is Insight, not Numbers ~ Richard Hamming

The Purpose of Computing is Insight, not Numbers cont.

Human-Computer Partnership

Displays Nowhere Near Limits of Human Visual System

Roadmap

The Emerging Data Crisis

Divergence of Peak Capacity of DOE ASCI & NSF PACI Capacity

Current ASCI Platforms and Problem Sizes

The Nature of the Problem

System is Unbalanced Today

Plan for Ameliorating this Problem

Roadmap

Raleigh-Taylor Instability LLNL

The Visible Female University of Utah

PowerWall Visualization Los Alamos National Lab

Roadmap

Impedance-matching Limitations of WIMP GUI’s

Post-WIMP UI’s

Immersive Virtual Reality

Brown’s Cave

Advantages of Virtual Reality

Human-scale Problems

Non-human-scale Problems

Why Use Immersive VR for Visualization?

Cave Scientific Visualization TCASCV, Brown University

STAR TAP and CAVERN EVL and ANL

Collaborative Virtual Director & Cave5D-NCSA / Old Dominion Univ.

New Approaches to Ubiquitous, Cheap VR

A Vision of Telecollaboration: A Normal Office, Enhanced

A Vision of Telecollaboration: Overlapped Projected Displays

A Vision of Telecollaboration: Seeing & Manipulating Objects

PPT Slide

Roadmap

Where are we?

Challenges in Core Graphics

Challenges in Core Graphics cont.

Challenges for Post-WIMP Interfaces

Challenges for Scientific (and Information) Visualization

Long term vision

PPT Slide

Line Integral Convolution (LIC)

Author: Andries van Dam