Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
The VolumePro real-time ray-casting system
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A practical evaluation of popular volume rendering algorithms
VVS '00 Proceedings of the 2000 IEEE symposium on Volume visualization
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Visualizing massive multivariate time-series data
Information visualization in data mining and knowledge discovery
Next-generation visual supercomputing using PC clusters with volume graphics hardware devices
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
Constructing a Reeb graph automatically from cross sections
IEEE Computer Graphics and Applications
Volume Data Mining Using 3D Field Topology Analysis
IEEE Computer Graphics and Applications
Out-Of-Core Rendering of Large, Unstructured Grids
IEEE Computer Graphics and Applications
Optimizing parallel performance of unstructured volume rendering for the Earth Simulator
Parallel Computing - Parallel graphics and visualisation
Topological Volume Skeletonization Using Adaptive Tetrahedralization
GMP '04 Proceedings of the Geometric Modeling and Processing 2004
A PC Cluster System for Simultaneous Interactive Volumetric Modeling and Visualization
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
The Feature Tree: Visualizing Feature Tracking in Distributed AMR Datasets
PVG '03 Proceedings of the 2003 IEEE Symposium on Parallel and Large-Data Visualization and Graphics
A study of transfer function generation for time-varying volume data
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
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The rapid advance in high performance computing and measurement technologies has recently made it possible to produce a stupendous amount of time-varying volume datasets in a variety of disciplines. However, there exist a few known visual exploration tools that allow us to investigate the core of their complex dynamics effectively. In this paper, our previous approach to topological volume skeletonization is extended to capture the topological features of large-scale time-varying volume datasets. A visual exploration tool, termed T-map, is presented, where pixel-oriented information visualization techniques are deployed so that the user can identify partial 4D spatiotemporal domains with characteristic changes in a topological sense, prior to detailed and comprehensible volume visualization. A case study with datasets from atomic collision research is performed to illustrate the feasibility of the proposed tool.