Abstract
This paper presents an automatic error tolerance specification system to control the performance of hierarchical volume rendering. Rather than requiring the user to provide an explicit error tolerance numerically, we let the user to specify only the target rendering speed. Our system can then calculate an appropriate error tolerance adaptively to satisfy the user’s performance goal. The system is realized using fuzzy logic control, which enables run-time adaptation based on iterative feedback control and knowledge acquired from past experience. We describe the process of constructing the fuzzy logic control system, and show that the system can successfully steer the performance of volume rendering.
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References
M. Levoy. Efficient ray tracing of volume data. ACM Transactions on Graphics, 9(3):245–261, 1990.
J. Danskin and P. Hanrahan. Fast algorithms for volume ray tracing. In Proceedings of 1992 Workshop on Volume Visualization, pages 91–99. ACM SIGGRAPH, 1992.
J. Wilhelms and A. Van Gelder. Multi-dimensional trees for controlled volume rendering and compression. In Proceedings of 1994 Symposium on Volume Visualization, pages 27–34. ACM SIGGRAPH, 1994.
E. LaMar, B. Hamann, and K. Joy. Multiresolution techniques for interactive texture-based volume visualization. In Proceedings of Visualization’ 99, pages 355–361. IEEE Computer Society Press, Los Alamitos,CA, 1999.
M. Weiler, R. Westermann, C. Hansen, K. Zimmerman, and T. Ertl. Level-of-detail volume rendering via 3d textures. In Proceedings of 2000 Symposium on Volume Visualization, pages 7–13. ACM SIGGRAPH, 2000.
H.-W. Shen, L.J. Chiang, and K.L. Ma. A fast volume rendering algorithm for time-varying field using a time-space partitioning (tsp) tree. In Proceedings of Visualization’ 99. IEEE Computer Society Press, Los Alamitos, CA, 1999.
D. Ellsworth, L. Chiang, and H.-W. Shen. Accelerating time-varying hardware volume rendering using tsp trees and color-based error metrics. In Proceedings of 2000 Symposium on Volume Visualization. ACM SIGGRAPH, 2000.
L.A. Zadeh. The calculus of fuzzy if/then rules. AI Expert, 7:23–27, March 1992.
L.A. Zadeh. Fuzzy sets. Information and Control, 8:338–353, 1965.
D. Laur and P. Hanrahan. Hierarchical splating: A progressive refinement algorithm for volume rendering. In Proceedings of SIGGRAPH 91, pages 285–287. ACM SIGGRAPH, 1991.
K. Tanaka. An introduction to fuzzy logic control for practical applications. Springer New York, 1997.
R. Yager and D. Filev. Essentials of fuzzy modeling and control. J. Wiley New York, 1994.
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© 2001 Springer-Verlag Wien
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Li, X., Shen, HW. (2001). Adaptive Volume Rendering using Fuzzy Logic Control. In: Ebert, D.S., Favre, J.M., Peikert, R. (eds) Data Visualization 2001. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6215-6_27
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DOI: https://doi.org/10.1007/978-3-7091-6215-6_27
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83674-3
Online ISBN: 978-3-7091-6215-6
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