Article

Simplifying Flexible Isosurfaces Using Local Geometric Measures

Authors:

Michiel van de PanneAuthors Info & Claims

VIS '04: Proceedings of the conference on Visualization '04

Pages 497 - 504

https://doi.org/10.1109/VISUAL.2004.96

Published: 10 October 2004 Publication History

Abstract

The contour tree, an abstraction of a scalar field that encodes the nesting relationships of isosurfaces, can be used to accelerate isosurface extraction, to identify important isovalues for volume-rendering transfer functions, and to guide exploratory visualization through a flexible isosurface interface. Many real-world data sets produce unmanageably large contour trees which require meaningful simplification. We define local geometric measures for individual contours, such as surface area and contained volume, and provide an algorithm to compute these measures in a contour tree. We then use these geometric measures to simplify the contour trees, suppressing minor topological features of the data. We combine this with a flexible isosurface interface to allow users to explore individual contours of a dataset interactively.

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Wang CTao J(2017)Graphs in Scientific VisualizationComputer Graphics Forum10.1111/cgf.1280036:1(263-287)Online publication date: 1-Jan-2017
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Simplifying Flexible Isosurfaces Using Local Geometric Measures
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Published In

cover image ACM Conferences

VIS '04: Proceedings of the conference on Visualization '04

October 2004

667 pages

ISBN:0780387880

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

IEEE Computer Society

United States

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Published: 10 October 2004

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Cited By

Wang CTao J(2017)Graphs in Scientific VisualizationComputer Graphics Forum10.1111/cgf.1280036:1(263-287)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1111/cgf.12800
Patan G(2017)Mesh-based and meshless design and approximation of scalar functionsComputer Aided Geometric Design10.1016/j.cagd.2017.05.00557:C(23-43)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1016/j.cagd.2017.05.005
Zhang GKochunov PHong ECarr HChen JBertini EElmqvist NWischgoll T(2016)Towards visual mega-analysis of voxel-based measurement in brain cohortsProceedings of the Eurographics / IEEE VGTC Conference on Visualization: Short Papers10.5555/3058878.3058890(55-59)Online publication date: 6-Jun-2016
https://dl.acm.org/doi/10.5555/3058878.3058890
Thomas DBorgo RHands STurkay CWan T(2016)Topological visualisation techniques for the understanding of lattice quantum chromodynamics (LQCD) simulationsProceedings of the conferece on Computer Graphics & Visual Computing10.5555/3056482.3056496(65-72)Online publication date: 15-Sep-2016
https://dl.acm.org/doi/10.5555/3056482.3056496
Wang CJiang HDong Y(2016)Connectivity-Based Space Filling Curve Construction Algorithms in High Genus 3D Surface WSNsACM Transactions on Sensor Networks10.1145/290794712:3(1-29)Online publication date: 12-Aug-2016
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Chattopadhyay ACarr HDuke DGeng ZSaeki O(2016)Multivariate topology simplificationComputational Geometry: Theory and Applications10.1016/j.comgeo.2016.05.00658:C(1-24)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.comgeo.2016.05.006
Biedert TGarth CMarton F(2015)Contour tree depth images for large data visualizationProceedings of the 15th Eurographics Symposium on Parallel Graphics and Visualization10.5555/2853213.2853226(77-86)Online publication date: 25-May-2015
https://dl.acm.org/doi/10.5555/2853213.2853226
Doraiswamy HFerreira NLage MVo HWilson LWerner HPark MSilva C(2015)Topology-based catalogue exploration framework for identifying view-enhanced tower designsACM Transactions on Graphics10.1145/2816795.281813434:6(1-13)Online publication date: 2-Nov-2015
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Wang SWang YWenger RCheng SDevillers O(2014)The JS-graphs of Join and Split TreesProceedings of the thirtieth annual symposium on Computational geometry10.1145/2582112.2582162(539-548)Online publication date: 8-Jun-2014
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Landge APascucci VGyulassy ABennett JKolla HChen JBremer PDamkroger TDongarra J(2014)In-situ feature extraction of large scale combustion simulations using segmented merge treesProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC.2014.88(1020-1031)Online publication date: 16-Nov-2014
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