Three-Dimensional Particle Image Velocimetry Using a Plenoptic Camera

A novel 3-D, 3-C PIV technique is described, based on volume illumination and a plenoptic camera to measure a velocity field. The technique is based on plenoptic photography, which uses a dense microlens array mounted near a camera sensor to sample the spatial and angular distribution of light entering the camera. Various algorithms are then used to reconstruct a volumetric intensity field after the image is taken, and cross-correlation algorithms extract the velocity field from the reconstructed volume. This paper provides an introduction to the concepts of light fields and plenoptic photography, and describes the algorithms used to reconstruct the measurement volume. A comparison is made between the use of a combined computational refocusing and thresholding approach versus a direct tomographic reconstruction approach. This discussion lays the groundwork for a more detailed study of reconstruction accuracy, achieveable particle number density, reconstruction ambiguities (e.g., ghost particles), and other factors in a following study. Additionally, the construction of a prototype camera based on a 16-megapixel interline CCD sensor is described and preliminary experimental renderings are given.

[1]  Alexandra H. Techet,et al.  Three-dimensional synthetic aperture particle image velocimetry , 2010 .

[2]  C. Willert,et al.  Three-dimensional particle imaging with a single camera , 1992 .

[3]  A. Thetford Introduction to Matrix Methods in Optics , 1976 .

[4]  Francisco Pereira,et al.  Defocusing digital particle image velocimetry: a 3-component 3-dimensional DPIV measurement technique. Application to bubbly flows , 2000 .

[5]  Fulvio Scarano,et al.  Three-dimensional instantaneous structure of a shock wave/turbulent boundary layer interaction , 2009, Journal of Fluid Mechanics.

[6]  Andreas Schröder,et al.  Investigation of a turbulent spot and a tripped turbulent boundary layer flow using time-resolved tomographic PIV , 2008 .

[7]  Klaus D. Hinsch,et al.  Holographic particle image velocimetry , 2004 .

[8]  Allan D. Grosvenor,et al.  Shock wave / turbulent boundary layer interactions , 2011, SC '11 Companion.

[9]  Ch. Briicker,et al.  Digital-Particle-Image-Velocimetry (DPIV) in a scanning light-sheet: 3D starting flow around a short cylinder , 1995 .

[10]  Fulvio Scarano,et al.  Three-dimensional vorticity patterns of cylinder wakes , 2009 .

[11]  M. Levoy,et al.  Light field microscopy , 2006, SIGGRAPH 2006.

[12]  Bernhard Wieneke,et al.  Tomographic particle image velocimetry , 2006 .

[13]  Kyle P. Lynch Development of a 3-D Fluid Velocimetry Technique based on Light Field Imaging , 2011 .

[14]  P. Hanrahan,et al.  Light Field Photography with a Hand-held Plenoptic Camera , 2005 .

[15]  Edward H. Adelson,et al.  Single Lens Stereo with a Plenoptic Camera , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Klaus D. Hinsch REVIEW ARTICLE: Holographic particle image velocimetry , 2002 .

[17]  Marc Levoy,et al.  Light Fields and Computational Imaging , 2006, Computer.

[18]  C. Brücker,et al.  Digital-Particle-Image-Velocimetry (DPIV) in a scanning light-sheet: 3D starting flow around a short cylinder , 1995 .

[19]  Jürgen Kompenhans,et al.  Fundamentals of multiple plane stereo particle image velocimetry , 2000 .

[20]  Christian J. Kähler,et al.  Scanning PIV investigation of the laminar separation bubble on a SD7003 airfoil , 2008 .

[21]  Nikolaus A. Adams,et al.  LES of Shock Wave/Turbulent Boundary Layer Interaction , 2006 .

[22]  Clive A. Greated,et al.  Stereoscopic particle image velocimetry , 1991 .

[23]  Fulvio Scarano,et al.  Lagrangian and Eulerian pressure field evaluation of rod-airfoil flow from time-resolved tomographic PIV , 2011 .

[24]  M. Levoy,et al.  Recording and controlling the 4D light field in a microscope using microlens arrays , 2009, Journal of microscopy.