Particle-Based Sampling and Meshing of Surfaces in Multimaterial Volumes

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Particle-Based Sampling and Meshing of Surfaces in Multimaterial Volumes

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Title: Particle-Based Sampling and Meshing of Surfaces in Multimaterial Volumes
Author: Meyer, Miriah D; Whitaker, Ross; Kirby, Robert; Ledergerber, Christian; Pfister, Hanspeter

Note: Order does not necessarily reflect citation order of authors.

Citation: Meyer, Miriah, Ross Whitaker, Robert M. Kirby, Christian Ledergerber, and Hanspeter Pfister. 2008. Particle-based sampling and meshing of surfaces in multimaterial volumes. IEEE Transactions on Visualization and Computer Graphics 14(6): 1539-1546.
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Abstract: Methods that faithfully and robustly capture the geometry of complex material interfaces in labeled volume data are important for generating realistic and accurate visualizations and simulations of real-world objects. The generation of such multimaterial models from measured data poses two unique challenges: first, the surfaces must be well-sampled with regular, efficient tessellations that are consistent across material boundaries; and second, the resulting meshes must respect the nonmanifold geometry of the multimaterial interfaces. This paper proposes a strategy for sampling and meshing multimaterial volumes using dynamic particle systems, including a novel, differentiable representation of the material junctions that allows the particle system to explicitly sample corners, edges, and surfaces of material intersections. The distributions of particles are controlled by fundamental sampling constraints, allowing Delaunay-based meshing algorithms to reliably extract watertight meshes of consistently high-quality.
Published Version: doi:10.1109/TVCG.2008.154
Other Sources: http://gvi.seas.harvard.edu/sites/all/files/mmeyer_mmps08.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4100251

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  • FAS Scholarly Articles [7106]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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