Coupled Fluid Density and Motion from Single Views

dc.contributor.authorEckert, Marie-Lenaen_US
dc.contributor.authorHeidrich, Wolfgangen_US
dc.contributor.authorThuerey, Nilsen_US
dc.contributor.editorThuerey, Nils and Beeler, Thaboen_US
dc.description.abstractWe 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.en_US
dc.description.sectionheadersCoupled Fluids
dc.description.seriesinformationComputer Graphics Forum
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectPhysical simulation
dc.subjectMathematics of computing
dc.subjectConvex optimization
dc.titleCoupled Fluid Density and Motion from Single Viewsen_US