Abstract
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.
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References
Meissner, M., Huang, J., Bartz, D., Mueller, K., Crawfis, R.: A practical evaluation of popular volume rendering algorithms. In: Crawfis, R., Cohen-Or, D. (eds.) Proc. IEEE Volume Visualization and Graphics Symposium 2000, vol. 151, pp. 81–90 (2000)
Pfister, H., Hardenbergh, J., Knittel, J., Lauer, H., Seiler, L.: The VolumePro real-time ray-casting system. In: Rockwood, A. (ed.) Proc. ACM SIGGRAPH 1999, pp. 251–260 (1999)
Muraki, S., Ogata, M., Ma, K.L., Koshizuka, K., Kajihara, K., Liu, X., Nagano, Y., Shimokawa, K.: Next-generation visual supercomputing using PC clusters with volume graphics hardware devices. In: CD-ROM Proc. ACM/IEEE SuperComputing 2001 (2001)
Muraki, S., Lum, E.B., Ma, K.L., Ogata, M., Liu, X.: A PC cluster system for simultaneous interactive volumetric modeling and visualization. In: Koning, A., Machiraju, R., Silva, C.T. (eds.) Proc. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, pp. 95–102 (2003)
Chen, L., Fujishiro, I., Nakajima, K.: Optimizing parallel performance of unstructured volume rendering for the Earth Simulator. Parallel Computing 29, 355–371 (2003)
Ramakrishnan, N., Grama, A.Y.: Data mining: From serendipity to science. IEEE Computer 32, 34–37 (1999)
Fujishiro, I., Azuma, T., Takeshima, Y., Takahashi, S.: Volume data mining using 3D field topology analysis. IEEE Computer Graphics and Applications 20, 46–51 (2000)
Ji, G., Shen, H.W., Wenger, R.: Volume tracking using higher dimensional isosurfacing. In: Turk, G., van Wijk, J.J., Moorhead, R. (eds.) Proc. IEEE Visualization 1991, pp. 209–216 (1991)
Chen, J., Silver, D., Jiang, L.: The Feature Tree: Visulaizing feature tracking in distributed amr datasets. In: Koning, A., Machiraju, R., Silva, C.T. (eds.) Proc. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, pp. 103–110 (2003)
Takahashi, S., Takeshima, Y., Fujishiro, I.: Topological volume skeletonization and its application to transfer function design. Graphical Models 66, 24–49 (2004)
Shinagawa, Y., Kunii, T.L.: Constructing a Reeb graph automatically from cross sections. IEEE Computer Graphics and Applications 11, 44–51 (1991)
Takahashi, S., Ikeda, T., Shinagawa, Y., Kunii, T.L., Ueda, M.: Algorithms for extracting correct critical points and constructing topological graphs from discrete geographical elevation data. Computer Graphics Forum 14, 181–192 (1995)
Fujishiro, I., Takeshima, Y., Takahashi, S., Yamaguchi, Y.: Topologically-accentuated volume rendering. In: Post, F.H., Nielson, G.M., Bonneau, G.P. (eds.) Data Visualization: The State of The Art, pp. 95–108. Kluwer Academic Publishers, Dordrecht (2003)
Hilaga, M., Shinagawa, Y., Kohmura, T., Kunii, T.L.: Topology matching for fully automatic similarity estimation of 3D shapes. In: Fiume, E. (ed.) Proc. ACM SIGGRAPH 2001, pp. 203–212 (2001)
Takahashi, S., Nielson, G.M., Takeshima, Y., Fujishiro, I.: Topological volume skeletonization using adaptive tetrahedralization. In: Hu, S.M., Pottmann, H. (eds.) Proc. Geometric Modeling and Processing 2004, pp. 227–236. IEEE Computer Society Press, Los Alamitos (2004)
Johnson, M.A., Maggiora, G.M. (eds.): Concepts and Applications of Molecular Similarity. John Wiley & Sons, Chichester (1990)
Kier, L.B., Hall, L.H.: Molecular Connectivity in Chemistry and Drug Research. Academic Press, London (1976)
Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T.: Numerical Recipes in C. Cambridge University Press, Cambridge (1988)
Keim, D.A.: Designing pixel-oriented visualization techniques: Theory and applications. IEEE Transactions on Visualization and Computer Graphics 6, 59–77 (2000)
Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco (1998)
Jankun-Kelly, T.J., Ma, K.L.: A study of transfer function generation for time-varying volume data. In: Mueller, K., Kaufman, A. (eds.) Volume Graphics 2001, pp. 33–43. Springer, Heidelberg (2001)
Farias, R., Silva, C.: Out-of-core rendering of large, unstructured grids. IEEE Computer Graphics and Applications 21, 42–50 (2001)
DeCoste, D.: Visualizing massive multivariate time-series data. In: Fayyad, U., Grimstein, G.G., Wierse, A. (eds.) Information Visualization in Data Mining and Knowledge Discovery, pp. 95–97. Morgan Kaufmann, San Francisco (2001)
Shneiderman, B.: Designing the User Interface Strategies for Effective Human-Computer Interaction, 3rd edn., ch. 15. Addison-Wesley, Reading (1998)
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Fujishiro, I., Otsuka, R., Takahashi, S., Takeshima, Y. (2008). T-Map: A Topological Approach to Visual Exploration of Time-Varying Volume Data. In: Labarta, J., Joe, K., Sato, T. (eds) High-Performance Computing. ISHPC ALPS 2005 2006. Lecture Notes in Computer Science, vol 4759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77704-5_15
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DOI: https://doi.org/10.1007/978-3-540-77704-5_15
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