Volume self-calibration for 3D particle image velocimetry

By Bernhard Wieneke. 2008

720 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fd6d3d6cc92273451b3cf1a04e215dfe66cee2e0

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In Atomic and Molecular Physics, and Optics

In Computational Mechanics

In Computer Vision and Pattern Recognition

Citations in the corpus

Motion tracking-enhanced MART for tomographic PIV (2010, methodology): “The former issue can be solved by use of the volume self-calibration algorithm (Wieneke 2008), instead the latter aspect has not been addressed yet.”
Iterative reconstruction of volumetric particle distribution (2013, methodology): “This can be achieved with a volumetric self-calibration procedure using the actual recorded particle images (Wieneke 2008).”
Lagrangian and Eulerian pressure field evaluation of rod-airfoil flow from time-resolved tomographic PIV (2011, methodology): “Prior to the volume reconstruction, the 3D calibration function is corrected by the volume self-calibration to minimize the disparity fields, decreasing in the calibration error from a typical value of 0.5–0.1 pixel (Wieneke 2008).”
Three-dimensional vorticity patterns of cylinder wakes (2009, methodology): “However, as discussed by Elsinga et al. (2006) and more recently by Wieneke (2008) , the requirement for the relative position accuracy between cameras for the tomographic technique must not exceed a small fraction of the particle image diameter, which is significantly more stringent than that for ”
Three-dimensional synthetic aperture particle image velocimetry (2010, methodology): “Volume self-calibration techniques such as that described in [27] are capable of reducing mapping errors to less than 0.”
An efficient simultaneous reconstruction technique for tomographic particle image velocimetry (2009, methodology): “Calibration was performed using the Soloff method (Soloff et al. 1997), with a calibration target aligned parallel to the light sheet then translated through the light sheet thickness, from z =- 2.5 to z = 2.5 in steps of 500 lm with a micrometer uncertainty of 5 lm. A volume self-calibration analog”
Tomographic PIV: principles and practice (2012, methodology): “Michaelis and Wieneke (2008) also compared tomo and stereo PIV using computer simulations.”
The accuracy of tomographic particle image velocimetry for measurements of a turbulent boundary layer (2011, methodology): “y = 12 to y = 0 mm with steps of 500 lm, using a microcontrol with an accuracy of 5 lm. A volume selfcalibration analogous to that of Wieneke (2008) showed an initial calibration error on the order of 1 px. After selfcalibration correction, this was reduced to 0.1 px.”
Non-uniform optical transfer functions in particle imaging: calibration and application to tomographic reconstruction (2013, methodology): “This OTF calibration was realized as an add-on step to the volume selfcalibration (VSC), which is nowadays a standard operation during the evaluation of TOMO-PIV data (Wieneke 2008).”
Three-dimensional vortex organization in a high-Reynolds-number supersonic turbulent boundary layer (2010, methodology): “Then the volume self-calibration procedure described by Wieneke (2008) was used to improve the calibration accuracy to better than 0.2 pixels for all cameras.”