Efficient ray tracing of volume data
ACM Transactions on Graphics (TOG)
Hierarchical splatting: a progressive refinement algorithm for volume rendering
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Fast algorithms for volume ray tracing
VVS '92 Proceedings of the 1992 workshop on Volume visualization
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Multi-dimensional trees for controlled volume rendering and compression
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Multiresolution techniques for interactive texture-based volume visualization
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
A fast volume rendering algorithm for time-varying fields using a time-space partitioning (TSP) tree
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Level-of-detail volume rendering via 3D textures
VVS '00 Proceedings of the 2000 IEEE symposium on Volume visualization
Accelerating time-varying hardware volume rendering using TSP trees and color-based error metrics
VVS '00 Proceedings of the 2000 IEEE symposium on Volume visualization
Time-critical multiresolution volume rendering using 3D texture mapping hardware
VVS '02 Proceedings of the 2002 IEEE symposium on Volume visualization and graphics
Time-critical distributed visualization with fault tolerance
EG PGV'08 Proceedings of the 8th Eurographics conference on Parallel Graphics and Visualization
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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.