Multimodal & Multifield Data Visualization
Project Mission
Recent advances in the data acquisition devices and computing technologies are driving us to simultaneously analyze multiple fields occupying the same spatial domain. Applying the conventional methods directly to such data easily use up the amount of information that can be conveyed in a limited screen space. Our goal is to invent a new visualization scheme along with user interface support to reveal the interaction between multiple fields.
A Tri-Space Visualization Interface for Analyzing Time-Varying Multivariate Volume Data
Hiroshi Akiba, Kwan-Liu Ma
In Proceedings of Eurographics/IEEE VGTC Symposium on Visualization
May, 2007, pp. 115-122
The dataset generated by a large-scale numerical simulation may include thousands of timesteps and hundreds of variables describing different aspects of the modeled physical phenomena. In order to analyze and understand such data, scientists must explore in the temporal, spatial, and variable domains of the data, which is not easily performed with a conventional visualization tool. This paper presents a new visualization interface (UI) addressing this problem ...
Visualizing Multivariate Volume Data from Turbulent Combustion Simulations
Hiroshi Akiba, Kwan-Liu Ma, Jacqueline H. Chen, Evatt R. Hawkes
IEEE Computing in Science and Engineering
Volume 9, Number 2, March, 2007, pp. 76-83
To understand dynamic mechanisms, scientists need intuitive and convenient ways to validate known relationships and reveal hidden ones among multiple variables ...
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