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Single-camera, three-dimensional particle tracking velocimetry
Author(s) -
Kevin Peterson,
Boris Regaard,
Stefan H. Heinemann,
Volker Sick
Publication year - 2012
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.009031
Subject(s) - particle tracking velocimetry , tracking (education) , stereoscopy , particle image velocimetry , optics , particle (ecology) , velocimetry , physics , planar , software , computer vision , artificial intelligence , computer science , computer graphics (images) , geology , psychology , pedagogy , oceanography , turbulence , thermodynamics , programming language
This paper introduces single-camera, three-dimensional particle tracking velocimetry (SC3D-PTV), an image-based, single-camera technique for measuring 3-component, volumetric velocity fields in environments with limited optical access, in particular, optically accessible internal combustion engines. The optical components used for SC3D-PTV are similar to those used for two-camera stereoscopic-µPIV, but are adapted to project two simultaneous images onto a single image sensor. A novel PTV algorithm relying on the similarity of the particle images corresponding to a single, physical particle produces 3-component, volumetric velocity fields, rather than the 3-component, planar results obtained with stereoscopic PIV, and without the reconstruction of an instantaneous 3D particle field. The hardware and software used for SC3D-PTV are described, and experimental results are presented.

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