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Caricaturistic Visualization
September-October 2006 (vol. 12 no. 5)
pp. 1085-1092
Ivan Viola, IEEE Computer Society
Exploded views are an illustration technique where an object is partitioned into several segments. These segments are displaced to reveal otherwise hidden detail. In this paper we apply the concept of exploded views to volumetric data in order to solve the general problem of occlusion. In many cases an object of interest is occluded by other structures. While transparency or cutaways can be used to reveal a focus object, these techniques remove parts of the context information. Exploded views, on the other hand, do not suffer from this drawback. Our approach employs a force-based model: the volume is divided into a part configuration controlled by a number of forces and constraints. The focus object exerts an explosion force causing the parts to arrange according to the given constraints. We show that this novel and flexible approach allows for a wide variety of explosion-based visualizations including view-dependent explosions. Furthermore, we present a high-quality GPU-based volume ray casting algorithm for exploded views which allows rendering and interaction at several frames per second.

[1] 1085 E. Akleman, J. D. Palmer, and R. Logan, Making extreme caricatures with a new interactive 2D deformation technique with simplicial complexes. In Proceedings of Visual 2000, pages 165–170, 2000.[2] P. J. Benson and D. I. Perret, Perception and recognition of photographic quality facial caricatures: Implications for the recognition of natural images. European Journal of Cognitive Psychology, 3 (1): 105–135, 1991.[3] P. J. Benson and D. I. Perret, Visual processing of facial distinctiveness. Journal of Perception, 23 (1): 75–93, 1994.[4] S. E. Brennan, Caricature generator: The dynamic exaggeration of faces by computer. Leonardo, 18 (3): 170–178, 1985.[5] S. Bruckner and M. E. Gröller, VolumeShop: An interactive system for direct volume illustration. In Proceedings of IEEE Visualization 2005, pages 671–678, 2005.[6] F. J. Dwyer, Adapting visual illustrations for effective learning. Harvard Educational Review, 37 (2): 250–263, 1967.[7] W. Förstner, A framework for low level feature extraction. In ECCV '94: Proceedings of the Third European Conference on Computer Vision (Vol. II), pages 383–394, 1994.[8] B. Gooch, E. Reinhard, and A. Gooch, Human facial illustrations: Creation and psychophysical evaluation. ACM Transactions on Graphics, 23 (1): 27–44, 2004.[9] M. A. Hagen and D. Perkins, A refutation of the hypothesis of the superfidelity of caricatures relative to photographs. Journal of Perception, 12 (1): 55–61, 1983.[10] C. Harris and M. Stephens, A combined corner and edge detector. In Proceedings of the 4th Alvey Vision Conference, pages 147–151, 1988.[11] A. Joshi and P. Rheingans, Illustration-inspired techniques for visualizing time-varying data. In Proceedings of IEEE Visualization 2005, pages 679–686, 2005.[12] A. Kanitsar, R. Wegenkittl, P. Felkel, D. Fleischmann, D. Sandner, and M. E. Gröller, Peripheral vessel investigation for routine clinical use. In Proceedings of IEEE Visualization 2001, pages 91–98, 2001.[13] A. Lerios, C. D. Garfinkle, and M. Levoy, Feature-based volume metamorphosis. In Proceedings of ACM SIGGRAPH 1995, pages 449–456, 1995.[14] C. Liu, A. Torralba, W. T. Freeman, F. Durand, and E. H. Adelson, Motion magnification. ACM Transactions on Graphics, 24 (3): 519–526, 2005.[15] D. N. Perkins and M. A. Hagen, Convention, context, and caricature. The perception of pictures, 1980.[16] L. Redman, How To Draw Caricatures. In Aspects of Face Processing, Contemporary Books, 1984.[17] G. Rhodes, S. Brennan, and S. Carey, Identification and ratings of caricatures: Implications for mental representations of faces. Cognitive Psychology, 19 (4): 473–497, 1987.[18] G. Rhodes and T. Tremewan, Understanding face recognition: caricature effects, inversion, and the homogeneity problem. Visual Cognition, 1: 275–311, 1994.[19] G. Rhodes and T. Tremewan, Averageness, exaggeration, and facial attractiveness. Psychological Science, 7 (2): 105–110, 1996.[20] T. A. Ryan and C. Schwartz, Speed of perception as a function of mode of presentation. American Journal of Psychology, 69 (1): 60–69, 1956.[21] S. V. Stevenage, Can caricatures really produce distinctiveness effects? British Journal of Psychology, 86: 127–146, 1995.[22] N. Svakhine, D. S. Ebert, and D. Stredney, Illustration motifs for effective medical volume illustration. IEEE Computer Graphics and Applications, 25 (3): 31–39, 2005.[23] I. Viola, A. Kanitsar, and M. E. Gröller, Importance-driven volume rendering. In Proceedings of IEEE Visualization 2004, pages 139–145, 2004.[24] I. Viola, A. Kanitsar, and M. E. Gröller, Importance-driven feature enhancement in volume visualization. IEEE Transactions on Visualization and Computer Graphics, 11 (4): 408–418, 2005.[25] C. Weigle and R. M. Taylor, Visualizing intersecting surfaces with nested-surface techniques. In Proceedings of IEEE Visualization 2005, pages 503–510, 2005.[26] M. Wynblatt and D. Benson, Web page caricatures: multimedia summaries for www documents. In Proceedings of IEEE International Conference on Multimedia Computing and Systems, pages 194–199, 1998.

Index Terms:
illustrative visualization, exploded views, volume rendering
Citation:
Peter Rautek, Ivan Viola, M. Eduard Gr?ller, "Caricaturistic Visualization," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 1085-1092, Sept. 2006, doi:10.1109/TVCG.2006.123
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