(Supported by NSF Grant MCS-0625931)
In recent years,
modeling time-varying 3D fluid surfaces has attracted much attention of many
research fields, from physical-based modeling and fluid mechanics to
oceanography. While tremendous achievements have been made on developing
numerical simulators to estimate fluid surface evolutions, capturing
time-varying 3D fluid surfaces is still a challenging problem. This is
mainly because wave fronts are often rapidly evolving and the measuring
device should not be intrusive to the fluid. Fluid surfaces also evolve
under the constraints of fluid dynamics and it is unclear how the basic
fluid mechanics can be incorporated into surface reconstruction methods. In
this project, we have developed a novel approach for reconstructing fluid
surfaces using a special capturing device and a novel scattered data
interpolation method. |
Related Papers |
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Angular Domain Reconstruction of Dynamic 3D Fluid Surfaces Jinwei Ye, Yu Ji, Feng Li, and Jingyi Yu To appear in CVPR 2012 (video1, video2) |
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Dynamic Fluid Surface Acquisition Yuanyuan Ding, Feng Li, Yu Ji, and Jingyi Yu In Proceedings of International Conference of Computer Vision 2011 (ICCV 2011) (video1, video2) |
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Recovering Fluid-type Motions Using Navier-Stokes Potential Flow Feng Li, Liwei Xu, Philippe Guyenne, Jingyi Yu In Proceedings of Computer Vision and Pattern Recognition 2010 (CVPR 2010) |