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Adjusting Control Parameters of Topology-Accentuated Transfer Functions for Volume Raycasting

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Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

The design of automatic transfer functions for volume rendering is a perennial problem in volume visualization. Over the last three decades, a variety of design methodologies have been proposed. However, sensitive adjustment of related control parameters remains entrusted to users, because rendering conditions, such as the thickness of emphasized subvolumes in the ray direction and the size of a target dataset, differ on a case-by-case basis. Our group previously proposed one-dimensional transfer functions to accentuate topological changes in the scalar field of the target dataset. However, the method forces us to determine the actual control parameter values for the transfer functions in an empirical manner. In this paper, we propose a supplementary mechanism with which to judiciously define an appropriate profile of the opacity values. More specifically, the height and width of the hat opacity transfer functions that accentuate feature isosurfaces are determined according to the number of voxels belonging to the relevant topologically equivalent scalar field interval. The feasibility of the proposed method is evaluated by its application to five kinds of volume datasets.

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Acknowledgements

This work was supported, in part, by MEXT KAKENHI under the Grant-in-Aid for Scientific Research on Innovative Areas 25120014 and JSPS KAKENHI under the Grant-in-Aid for Science Research (A) No. 26240015 and JP17H00737 and Scientific Research (C) No. 26330142 and JP17K00173. The authors would like to thank the anonymous reviewers for their valuable suggestions for revising our paper.

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Correspondence to Yuriko Takeshima .

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Takeshima, Y., Takahashi, S., Fujishiro, I. (2020). Adjusting Control Parameters of Topology-Accentuated Transfer Functions for Volume Raycasting. In: Carr, H., Fujishiro, I., Sadlo, F., Takahashi, S. (eds) Topological Methods in Data Analysis and Visualization V. TopoInVis 2017. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-43036-8_5

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