Abstract
Exploded views are often used in illustration to overcome the problem of occlusion when depicting complex structures. In this paper, we propose a volume visualization technique inspired by exploded views that partitions the volume into a number of parallel slabs and shows them apart from each other. The thickness of slabs is driven by the similarity between partitions. We use an information-theoretic technique for the generation of exploded views. First, the algorithm identifies the viewpoint which gives the most structured view of the data. Then, the partition of the volume into the most informative slabs for exploding is obtained using two complementary similarity-based strategies. The number of slabs and the similarity parameter are freely adjustable by the user.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Rheingans, P., Ebert, D.: Volume illustration: Nonphotorealistic rendering of volume models. IEEE Trans. on Visualization and Computer Graphics 7(3), 253–264 (2001)
Wang, S.W., Kaufman, A.E.: Volume sculpting. In: Proc. the Symposium on Interactive 3D Graphics, pp. 151–156 (1995)
Weiskopf, D., Engel, K., Ertl, T.: Interactive clipping techniques for texture-based volume visualization and volume shading. IEEE Trans. on Visualization and Computer Graphics 9(3), 298–312 (2003)
Konrad-Verse, O., Preim, B., Littmann, A.: Virtual resection with a deformable cutting plane. In: Proc. of Simulation und Visualisierung, pp. 203–214 (2004)
Viola, I., Kanitsar, A., Gröller, M.E.: Importance-driven feature enhancement in volume visualization. IEEE Trans. on Visualization and Computer Graphics 11(4), 408–418 (2005)
Bruckner, S., Grimm, S., Kanitsar, A., Gröller, M.E.: Illustrative Context-Preserving Exploration of Volume Data. IEEE Trans. on Visualization and Computer Graphics 12(6), 253–264 (2006)
McGuffin, M., Tancau, L., Balakrishnan, R.: Using deformations for browsing volumetric data. In: Proc. IEEE Visualization, pp. 401–408 (2003)
Vázquez, P.P., Feixas, M., Sbert, M., Heidrich, W.: Viewpoint selection using viewpoint entropy. In: Proc. Vision, Modeling, and Visualization 2001, pp. 273–280 (2001)
Takahashi, S., Fujishiro, I., Takeshima, Y., Nishita, T.: A feature-driven approach to locating optimal viewpoints for volume visualization. In: IEEE Visualization 2005, pp. 495–502 (2005)
Bordoloi, U.D., Shen, H.W.: Viewpoint evaluation for volume rendering. In: IEEE Visualization 2005, pp. 487–494 (2005)
Viola, I., Feixas, M., Sbert, M., Gröller, M.E.: Importance-driven focus of attention. IEEE Trans. on Visualization and Computer Graphics 12(5), 933–940 (2006)
Bruckner, S., Gröller, M.E.: Volumeshop: An interactive system for direct volume illustration. In: Proc. IEEE Visualization 2005, pp. 671–678 (2005)
Tishby, N., Pereira, F.C., Bialek, W.: The information bottleneck method. In: Proceedings of the 37th Annual Allerton Conference on Communication, Control and Computing, pp. 368–377 (1999)
Slonim, N., Tishby, N.: Agglomerative information bottleneck. In: NIPS, pp. 617–623 (1999)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Series in Telecommunications (1991)
Feldman, D., Crutchfield, J.: Structural information in two-dimensional patterns: Entropy convergence and excess entropy. Physical Review E 67 (2003)
Burbea, J., Rao, C.R.: On the convexity of some divergence measures based on entropy functions. IEEE Trans. on Information Theory 28(3), 489–495 (1982)
Viola, P.A.: Alignment by Maximization of Mutual Information. PhD thesis, Massachusetts Institute of Technology, Massachusetts (MA), USA (1995)
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Trans. on Medical Imaging 16(2), 187–198 (1997)
Studholme, C.: Measures of 3D Medical Image Alignment. PhD thesis, University of London, London, UK (1997)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ruiz, M., Viola, I., Boada, I., Bruckner, S., Feixas, M., Sbert, M. (2008). Similarity-Based Exploded Views. In: Butz, A., Fisher, B., Krüger, A., Olivier, P., Christie, M. (eds) Smart Graphics. SG 2008. Lecture Notes in Computer Science, vol 5166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85412-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-85412-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85410-4
Online ISBN: 978-3-540-85412-8
eBook Packages: Computer ScienceComputer Science (R0)