Dynamic open contours using particle swarm optimization with application to fluid interface extraction

Authors:
M. Thomas;S. K. Misra;C. Kambhamettu;J. T. Kirby
Affiliations:
Video/Image Modeling and Synthesis Lab, Dept. of Computer and Info. Sciences, University of Delaware, Newark, DE;Center for Applied Coastal Research, Dept. of Civil and Env. Engineering, University of Delaware, Newark, DE;Video/Image Modeling and Synthesis Lab, Dept. of Computer and Info. Sciences, University of Delaware, Newark, DE;Center for Applied Coastal Research, Dept. of Civil and Env. Engineering, University of Delaware, Newark, DE
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Year:
2006

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Abstract

This paper describes a method for the estimation of a dynamic open contour by incorporating a modified particle swarm optimization technique. This scheme has been applied to a “Particle Image Velocimetry” experiment for the analysis of fluid turbulence during a hydraulic jump. Due to inter reflections within the medium and refractions across different media interfaces, the imagery contains spurious regions, which have to be eliminated prior to the estimation of turbulence statistics at the fluid surface. The PIV image sequences provide a strict test bed for the performance analysis of this estimation mechanism due to the occurrence of intense specularity and extreme non-rigid motion dynamics.