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Linking Multidimensional Feature Space Cluster Visualization to Multifield Surface Extraction
May/June 2009 (vol. 29 no. 3)
pp. 85-89
The IEEE Visualization Design Contests aim to foster the development of new visualization tools, techniques and solutions to existing real-world problems. This article describes the scientific questions posed for the contest for a turbulence data set, contest evaluation procedure, and the 2008 contest results. The winning entry presents a system for linking multi-dimensional feature-space cluster visualization to surface extraction from multi-field volume data designed to answer the contest questions. This article also includes a sidebar by Amit Chourasia and Russell M. Taylor II.
1. 85 L. Linsen et al., "Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization," IEEE Trans. Visualization and Computer Graphics, vol. 14, no. 6, 2008, pp. 1483–1490.2. P. Rosenthal and L. Linsen, "Direct Isosurface Extraction from Scattered Volume Data," Proc. Eurographics/IEEE-VGTC Symp. Visualization, Eurographics Assoc., 2006, pp. 99–106.3. P. Rosenthal and L. Linsen, "Image-Space Point Cloud Rendering," Proc. Computer Graphics Int'l, Computer Graphics Soc., 2008, pp. 136–143.4. L. Linsen, K. Müller, and P. Rosenthal, "Splat-Based Ray Tracing of Point Clouds," J. WSCG (Int'l Conf. Central Europe on Computer Graphics, Visualization and Computer Vision), vol. 15, nos. 1–3, 2007, pp. 51–58.
Index Terms:
visualization, viscontest, turbulence visualization, multifield visualization, volume visualization, cluster, feature space
Citation:
Lars Linsen, Tran Van Long, Paul Rosenthal, "Linking Multidimensional Feature Space Cluster Visualization to Multifield Surface Extraction," IEEE Computer Graphics and Applications, vol. 29, no. 3, pp. 85-89, May/June 2009, doi:10.1109/MCG.2009.45