2004 Volume 33 Issue 2 Pages 171-179
Progressive tetrahedralization, which was proposed by Staadt et al. in 1998, visualizes a large-scale tetrahedral volume dataset efficiently with multiple levels of detail. When a visualization technique to be used is chosen and related parameter values for the visualization technique are specified, the number of tetrahedral blocks should be reduced by taking such predetermined conditions into account. In this paper, we propose a novel technique for controlling level of detail of a tetrahedral volume dataset by considering its selectively-weighted features of geometry and scalar field. We demonstrate the effects of the proposed technique with cases of cross-sectioning, isosurfacing and volume rendering of a practical multi-field tetrahedral volume dataset.
