Multi-Volume Visualization and Exploration
The amount of available volumetric data for scientific data visualization has increased rapidly of the years, calling for new methods to visualize large multi-volume databases. A method for exploring and visualizing multi-volume datasets is presented in this thesis. The work consists of a linked three component setup featuring a metadata overview visualizing, a slice stack visualizing and a focus volume visualization. The system relies on externally provided and internally derived metadata to provide a good overview of multi-volume datasets using a parallel coordinates view. Through brushing and focus+context visualization it is possible to select interesting subsets of the data for further exploration using two linked direct volume rendering views, a slice stack visualizing corresponding slices from selected volumes and a focus volume providing a good detailed view of any selected volume. Through three-way interaction it is possible to efficiently explore and visualize large multi-volume datasets using this setup.