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hal.structure.identifierComputer Science Department [UBC-Computer Science]
dc.contributor.authorGREGSON, James
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorIHRKE, Ivo
hal.structure.identifierComputer Graphics & Visualization Group [tum.3D]
dc.contributor.authorTHUEREY, Nils
hal.structure.identifierComputer Science Department [UBC-Computer Science]
hal.structure.identifierVisual Computing Center
dc.contributor.authorHEIDRICH, Wolfgang
dc.date.accessioned2023-05-12T11:02:18Z
dc.date.available2023-05-12T11:02:18Z
dc.date.issued2014-08-10
dc.identifier.issn0730-0301
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/182072
dc.description.abstractEnWe explore the connection between fluid capture, simulation and proximal methods, a class of algorithms commonly used for inverse problems in image processing and computer vision. Our key finding is that the proximal operator constraining fluid velocities to be divergence-free is directly equivalent to the pressure-projection methods commonly used in incompressible flow solvers. This observation lets us treat the inverse problem of fluid tracking as a constrained flow problem all while working in an efficient, modular framework. In addition it lets us tightly couple fluid simulation into flow tracking, providing a global prior that significantly increases tracking accuracy and temporal coherence as compared to previous techniques. We demonstrate how we can use these improved results for a variety of applications, such as re-simulation, detail enhancement, and domain modification. We furthermore give an outlook of the applications beyond fluid tracking that our proximal operator framework could enable by exploring the connection of deblurring and fluid guiding.
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.title.enFrom Capture to Simulation - Connecting Forward and Inverse Problems in Fluids
dc.typeArticle de revue
dc.identifier.doi10.1145/2601097.2601147
dc.subject.halInformatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
bordeaux.journalACM Transactions on Graphics
bordeaux.page11
bordeaux.volume33
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01016280
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01016280v1
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