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Spatially Adaptive Volume Tools in Bifrost

Published:06 August 2021Publication History

ABSTRACT

The level set method offers many advantages over e.g. meshes for modelling and visual effects, but a naïve implementation is both computationally expensive and memory intensive. Narrow band level sets alleviate both issues but are still limited by the finest detail resolved due to uniform resolution along the surface. Voxel structures that are adaptive along the surface improve this [Frisken et al. 2000], but have not seen wide adoption. This is presumably due to difficulties matching the performance of optimized narrow band implementations like industry standard OpenVDB [Museth 2013]. We present the adaptive level set implementation in Bifrost which is competitive with OpenVDB in speed while offering lower memory usage thanks to spatial adaptivity. Our contributions include novel algorithms for adaptive sharpened B-spline interpolation of volumes in general, voxelizing meshes and points into adaptive level set volumes, and meshing adaptive level sets.

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References

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '21: ACM SIGGRAPH 2021 Talks
      July 2021
      116 pages
      ISBN:9781450383738
      DOI:10.1145/3450623

      Copyright © 2021 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 August 2021

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      • invited-talk
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate1,822of8,601submissions,21%

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