9215145 Hesselink Both experimental and numerical techniques are becoming more sophisticated leading towards very large multivariate, time-dependent datasets describing complex physical phenomena. Visualization approaches for analysis and display of these datasets are currently inadequate, in particular when dealing with tensor data. The project addresses the need for better understanding of these datasets by investigating an integrated approach based on the triad of enabling technologies of feature extraction, data compression, and immersive environments. Three-dimensional datasets of increased complexity: tensor data and time-dependent fields will be displayed and analyzed. Most of the research effort is aimed at understanding the dynamical properties of physical systems that give rise to these large multivariate datasets. Therefore, techniques used for visualizing steady fields must be extended in order to visualize time-dependent data. Time-dependent data may be handled by animation of the individual time steps. Processing time for animations, however, are notoriously long. Therefore, data compression is being investigated at several stages of the integrated visualization process. In the analysis component, data compression of tensor fields is based on extracting and displaying hyperparticle paths using tensor field topology. In the display component, time-dependent fields may be analyzed and displayed using advanced data compression techniques such as vector clustering and 4-D transforms. Finally, the results of these analysis are displayed with tools from immersive environments, data compression techniques applied to rendering approaches, and other new technologies. *** v s t @ j < l WINMINE HLP @ j J 1 WINTUTORDAT @ j j WRITE HLP @ j k CALC EXE @ j @ CALC HLP @ j F CALENDARHLP @ j P CANYON MID @ j CHITZ BMP @ j ? M DING WAV @ j N- 9215145 Hesselink Both experimental and numerical techniques are becoming more sophisticated leading towards very large multiv < K 7 < $ $ $ ( F / < K < / 1 Courier Symbol & Arial 5 Courier New Z " h lc lc r ( S R:WW20USERABSTRACT.DOT abstract Alicia E. Harris Alicia E. Harris

Agency
National Science Foundation (NSF)
Institute
Division of Electrical, Communications and Cyber Systems (ECCS)
Application #
9215145
Program Officer
George K. Lea
Project Start
Project End
Budget Start
1993-09-01
Budget End
1997-08-31
Support Year
Fiscal Year
1992
Total Cost
$550,000
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
City
Palo Alto
State
CA
Country
United States
Zip Code
94304