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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Flow Visualization and Image Processing
SJR: 0.11 SNIP: 0.312 CiteScore™: 0.1

ISSN Печать: 1065-3090
ISSN Онлайн: 1940-4336

Выпуски:
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Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v15.i4.30
pages 313-327

RECONSTRUCTION OF CURVED PARTICLE STREAK TRAJECTORIES

Marcus Rosenstiel
Vision Systems E-2, Hamburg University of Technology, Harburger Schloßstr. 20, 21079 Hamburg
Rolf-Rainer Grigat
Vision Systems E-2, Hamburg University of Technology, Harburger Schloßstr. 20, 21079 Hamburg

Краткое описание

We present a method for reconstructing curved particle trajectories from particle streak velocimetry. The reflection properties of a particle are modeled as a point light source. The mapping of the particle on the image is spread by the point spread function of the camera lens. Therefore we can model the mapped particle trajectory as a convolution of the resting particle with its trajectory. Here we model the particle trajectory as a two-dimensional, symmetric Gaussian function convolved with a Bézier curve as an approximation of the trajectory with the pixel aperture of the camera. We assume that the velocity of the particle is constant over the measurement period. We will show that the particle trajectory can be reconstructed up to sub-pixel accuracy. This is verified with synthetic particle trajectories and qualitative comparisons with real world measurements.


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