Abstract
Volume data models are becoming larger and larger as the capture technology improves. Thus, their visualization requires high computational power. The automatic presentation of volume models through representative images and/or exploration paths becomes more and more useful. Representative views are also useful for document illustration, fast data quality evaluation, or model libraries documentation. Exploration paths are also useful for video demonstrations and previsualization of captured data. In this paper we present a fast, adaptive method for the selection of representative views and the automatic generation of exploration paths for volume models. Our algorithm is based on multi-scale entropy and algorithmic complexity. These views and paths reveal informative parts of a model given a certain transfer function. We show that our method is simple and easy to incorporate in medical visualization tools.
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References
Mühler, K., Neugebauer, M., Tietjen, C., Preim, B.: Viewpoint selection for intervention planning. In: EG/ IEEE-VGTC Symposium on Visualization, pp. 267–274 (2007)
Viola, I., Feixas, M., Sbert, M., Gröller, M.E.: Importance-driven focus of attention. IEEE Transactions on Visualization and Computer Graphics 12(5), 933–940 (2006)
Plemenos, D., Benayada, M.: Intelligent display in scene modeling. new techniques to automatically compute good views. In: Proc. International Conference GRAPHICON 1996 (1996)
Vázquez, P.P., Feixas, M., Sbert, M., Heidrich, W.: Viewpoint selection using viewpoint entropy. In: Proceedings of the Vision Modeling and Visualization Conference (VMV-01), Stuttgart, pp. 273–280 (2001)
Polonsky, O., Patanè, G., Biasotti, S., Gotsman, C., Spagnuolo, M.: What’s in an image? The Visual Computer 21(8-10), 840–847 (2005)
Bordoloi, U., Shen, H.W.: View selection for volume rendering. IEEE Visualization, 487–494 (2005)
Ji, G., Shen, H.W.: Dynamic view selection for time-varying volumes. IEEE Transactions on Visualization and Computer Graphics 12(5), 1109–1116 (2006)
Takahashi, S., Fujishiro, I., Takeshima, Y., Nishita, T.: A feature-driven approach to locating optimal viewpoints for volume visualization. IEEE Visualization, 495–502 (2005)
Patow, G., Pueyo, X.: A survey on inverse rendering problems. Computer Graphics Forum 22(4), 663–687 (2003)
Shacked, R., Lischinski, D.: Automatic lighting design using a perceptual quality metric. Computer Graphics Forum (Proceedings of Eurographics 2001) 20(3), C–215–226 (2001)
Gumhold, S.: Maximum entropy light source placement. In: Proc. of the Visualization 2002 Conference, pp. 275–282. IEEE Computer Society Press, Los Alamitos (2002)
Vázquez, P.: Automatic light source placement for maximum illumination information recovery. Computer Graphics Forum 26(2), 143–156 (2007)
Starck, J., Murtagh, F., Pirenne, B., Albrecht, M.: Astronomical image compression based on noise suppression. Publications of the Astronomical Society of the Pacific 108, 446–455 (1998)
Li, M., Vitanyi, P.M.: An Introduction to Kolmogorov Complexity and Its Applications. Springer, Berlin (1993)
Bennett, C., Gacs, P., Li, M., Vitanyi, P., Zurek, W.: Information distance. IEEETIT: IEEE Transactions on Information Theory 44 (1998)
Li, M., Chen, X., Li, X., Ma, B., Vitanyi, P.: The similarity metric. IEEE Transactions Informmation Theory 50(12), 3250–3264 (2004)
Cilibrasi, R., Vitanyi, P.: Clustering by compression. IEEE Trans. Information Theory 51(4), 1523–1545 (2005)
Cebrián, M., Alfonseca, M., Ortega, A.: The normalized compression distance is resistant to noise. IEEE Transactions on Information Theory 53(5), 1895–1900 (2007)
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Vázquez, PP., Monclús, E., Navazo, I. (2008). Representative Views and Paths for Volume Models. 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_10
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DOI: https://doi.org/10.1007/978-3-540-85412-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85410-4
Online ISBN: 978-3-540-85412-8
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