Stereo-PIV using self-calibration on particle images

By Bernhard Wieneke. 2005

507 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/ca057210960b21c0a2386b8dd24dd2738e06d5dd

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In Computational Mechanics

In Computer Vision and Pattern Recognition

In Mechanics of Materials

Citations in the corpus

Investigation of the vortex induced unsteadiness of a separation bubble via time-resolved and scanning PIV measurements (2008, methodology): “This error is corrected using a disparity map following Wieneke (2005) .”
Measurement of laminar, transitional and turbulent pipe flow using Stereoscopic-PIV (2007, methodology): “Implementation of this method proposed by Wieneke (2005), avoids velocity errors due to misregistration and relaxes the requirement for a perfect alignment of the calibration plane and the laser light sheet.”
Volume self-calibration for 3D particle image velocimetry (2008, methodology): “Advanced ‘self-calibration’ or ‘misalignment correction’ methods have been developed correcting such a misalignment using the actual recorded particle images (Willert 1997; Coudert and Schon 2001; Scarano et al. 2005; Wieneke 2005 ).”
Tomographic PIV: principles and practice (2012, methodology): “The calibration correction methods based on the evaluation of the disparity vector field are referred to as self-calibration (Wieneke 2005), which is based on the cross-correlation of the particle images after dewarping them.”
Spatial structure of a turbulent boundary layer with irregular surface roughness (2010, methodology): “Two-dimensional PIV measurements in the streamwise–wall-normal plane Two-dimensional PIV measurements were first performed in the streamwise–wallnormal (x–y) plane at the spanwise centre of the test section for smooth- and roughwall flow (at the spanwise centre of a single roughness tile), with deta”
Importance of the nozzle-exit boundary-layer state in subsonic turbulent jets (2018, methodology): “Calibration was performed at each acquisition station in order to correct for optical distortions and laser-sheet/measurement-plane misalignments using a self-calibration procedure (Wieneke 2005).”
Time-resolved reconstruction of the full velocity field around a dynamically-scaled flapping wing (2006, methodology): “Subsequently, this calibration was iteratively corrected using the disparity map approach (Willert 1997), a processes referred to as ‘self-calibration’ (Wieneke 2005).”
Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics (2011, methodology): “Lindken et al (2006b) used a self-calibration procedure (Kähler et al. 1998; Kähler 2004; Wieneke 2005) to measure the three-dimensional flow in a T-mixer with a magnification of 239.”
Assessment methods for unsteady flow distortion in aero-engine intakes (2018, methodology): “A disparity correction [25] was applied to account for the potential misalignment between the laser light sheet and the calibration target.”
Tomographic particle image velocimetry (2006, methodology): “Stereo PIV calibration methods meeting this requirement have been developed for planar Stereo-PIV (Scarano et al. 2005; Wieneke 2005), which can reduce calibration errors to less than 0.1 pixel.”