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Author Chetverikov, Dmitry ♦ Nagy, Marcell ♦ Verestoy, Judit
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Flow Visualisation ♦ Digital Piv Sequence ♦ Aeronautical Phenomenon ♦ Fft-based Correlation Technique ♦ Digital Piv ♦ Real Piv Sequence ♦ Numerous Application ♦ Technique Applied ♦ Optical Flow Estimation Technique ♦ Several Method ♦ Velocity Field ♦ Flow Dynamic ♦ Feature Ba ♦ Computer Vision ♦ Digital Particle Image Velocimetry ♦ Useful Alternative ♦ Optical Flow Algorithm ♦ Combustion Process
Description Digital Particle Image Velocimetry (DPIV) aims at flow visualisation and measurement of flow dynamics in numerous applications, including hydrodynamics, combustion processes and aeronautical phenomena. The fluid is seeded with particles that follow the flow and efficiently scatter light. Traditionally, FFT-based correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. Recently, an optical flow estimation technique [8] developed in computer vision has been successfully applied to DPIV. In this paper we study the DPIV-efficiency of another group of tracking approaches, the feature tracking techniques. Velocity fields obtained by several methods are compared for synthetic and real PIV sequences. It is concluded that feature tracking algorithms applied to DPIV are a useful alternative to both the correlation and the optical flow algorithms. 1 1. Introduction In this study we investigate the applicability and efficiency of feature ba...
In Proc. International Conf. on Pattern Recognition
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2000-01-01