Coupled Fluid Density and Motion from Single Views

M. L. Eckert, W. Heidrich, N. Thuerey

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

We present a novel method to reconstruct a fluid's 3D density and motion based on just a single sequence of images. This is rendered possible by using powerful physical priors for this strongly under-determined problem. More specifically, we propose a novel strategy to infer density updates strongly coupled to previous and current estimates of the flow motion. Additionally, we employ an accurate discretization and depth-based regularizers to compute stable solutions. Using only one view for the reconstruction reduces the complexity of the capturing setup drastically and could even allow for online video databases or smart-phone videos as inputs. The reconstructed 3D velocity can then be flexibly utilized, e.g., for re-simulation, domain modification or guiding purposes. We will demonstrate the capacity of our method with a series of synthetic test cases and the reconstruction of real smoke plumes captured with a Raspberry Pi camera.

Original languageEnglish (US)
Pages (from-to)47-58
Number of pages12
JournalComputer Graphics Forum
Volume37
Issue number8
DOIs
StatePublished - Dec 2018

Bibliographical note

Publisher Copyright:
© 2018 The Author(s) Computer Graphics Forum © 2018 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.

Keywords

  • CCS Concepts
  • Reconstruction
  • •Computing methodologies → Physical simulation
  • •Mathematics of computing → Convex optimization

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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