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    From capture to simulation: connecting forward and inverse problems in fluids

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    From Capture to Simulation – Connecting Forward and Inverse Problems in Fluids.pdf
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    8.933Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Conference Paper
    Authors
    Gregson, James
    Ihrke, Ivo
    Thuerey, Nils
    Heidrich, Wolfgang cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    Date
    2014-07-27
    Permanent link to this record
    http://hdl.handle.net/10754/556542
    
    Metadata
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    Abstract
    We 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.
    Citation
    From capture to simulation: connecting forward and inverse problems in fluids 2014, 33 (4):1 ACM Transactions on Graphics
    Publisher
    Association for Computing Machinery (ACM)
    Conference/Event name
    41st International Conference and Exhibition on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2014
    DOI
    10.1145/2601097.2601147
    Additional Links
    http://dl.acm.org/citation.cfm?doid=2601097.2601147
    ae974a485f413a2113503eed53cd6c53
    10.1145/2601097.2601147
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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