A Projection Operator for the Restoration of Divergence-Free Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector Field Analysis for Oriented Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Application of Neural Network Technique to Combustion Spray Dynamics Analysis
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Vortex Identification in the Wall Region of Turbulent Channel Flow
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Robust processing of optical flow of fluids
IEEE Transactions on Image Processing
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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This paper presents a computational framework to extract salient patterns, called vortex structures, from 3D turbulent fluid flows. These structures can be characterized as regions of dominating rotational motion in the velocity fields and intensity concentrations in the corresponding vorticity fields. A pointwise linear representation is employed to approximate the kinematics of the flow field, and the fluid motion is classified according to motion analysis or topological patterns. The regions of vortex structures are identified as those dominated by rotational motion or those of focus-type singularity. The 2D vortices, as a special case of 3D vortices, are detected by searching for regions of vorticity concentrations.