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A New Algorithm for the Interrogation of 3D Holographic PTV Data Based on Deterministic Annealing and EM-Optimization
Citation key Krepki2000
Author Krepki, R. and Pe, Y. and Meng, H. and Obermayer, K.
Pages 99 – 107
Year 2000
Journal Exp. Fluids (Suppl.)
Abstract Recently we have presented a new particle tracking algorithm for the interrogation of 2D-PTV data [Kuzmanowski et al., 1998], [Stellmacher and Obermayer, 1999], which estimates particle correspondences and local flow field parameters simultaneously. The new method is based on an algorithm recently proposed by [Gold et al., 1998], and has two advantages: (1) It allows to determine not only local velocity but also other local components of the flow field like rotation and shear, and (2) it allows to reliably determine flow-field parameters also in regions of high velocity gradients (e.g. vortices or shear flow). In this contribution we extend this algorithm for the interrogation of 3D holographic PIV data. Benchmarks with cross-correlation and nearest neighbor methods show, that the algorithm retains the superior performance which we have observed for the 2D case. Because PTV methods scale with the square of the number of particles rather than exponentially with the dimension of the interrogation cell (IC) the new method is much faster than cross-correlation based methods without sacrificing accuracy, and it is well adapted to the low particle seeding densities of holographic PIV methods.
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