Particle pre-processing for particle-based fluid surface reconstruction
Article No.: 23, Pages 1 - 7
Abstract
In this paper, we present a particle pre-processing pipeline tailored for the screened Poisson surface reconstruction(SPR) implemented in particle-based fluid surface reconstruction. In order for the fluid solution to be stable, we take a more reliable surface particles detection method in the solver. On this basis, instead of computing implicit function from all fluid particles, we only use surface particles by means of SPR. In order to build a smoother, feature-preserved surface, we adapt a fluid particles pre-processing pipeline to compensate for the defects of fluid particles applied to SPR. In experiment, we demonstrate how the SPR can benefit from our pre-processing pipeline and a significant improvement in quality of reconstructed surfaces as compared to existing methods.
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Published In
September 2021
139 pages
ISBN:9781450386470
DOI:10.1145/3481549
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Association for Computing Machinery
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Published: 27 November 2021
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VINCI 2021
VINCI 2021: The 14th International Symposium on Visual Information Communication and Interaction
September 6 - 8, 2021
Potsdam, Germany
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Overall Acceptance Rate 71 of 193 submissions, 37%
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