Abstract
We propose a seeding particle-based color-to-depth calibration methodology for three-dimensional color particle tracking velocimetry (3D color PTV) using a single camera and volumetric rainbow gradient illumination. The use of sheet-color illumination from a liquid crystal display projector enables in situ calibration, namely the color-to-depth relationships of particles seeded in a fluid are determined without inserting any calibration equipment or taking a different optical setup. That is, in this methodology, the calibration and application can be performed using the same optical configuration, and only the digital illumination patterns need to be changed. Adopting this calibration allows evaluating actual color-to-depth relationships of the particles in measurements. The calibration is conducted regarding the relationship between spatially distributed particle colors and their depth coordinates by support of an artificial neural network. By combining conventional PTV with the depth estimated by the color, particle trajectories in 3D real space can be reconstructed from the calibration. The performance of the proposed method was evaluated using a rotating flow in a cylindrical tank by comparing its results with the flow fields measured by conventional particle image velocimetry. Good accordance in the comparison at the highly 3D flow suggests the applicability of the present methodology for various flow configurations.
Graphic abstract
Similar content being viewed by others
References
Aguirre-Pablo A, Aljedaani AB, Xiong J, Idoughi R, Heidrich W, Thoroddsen ST (2019) Single-camera 3D PTV using particle intensities and structured light. Exp Fluids 60(2):25
Anders S, Noto D, Tasaka Y, Eckert S (2020) Simultaneous optical measurement of temperature and velocity fields in solidifying liquids. Exp Fluids 61:1–19
Bendicks C, Tarlet D, Roloff C, Bordás R, Wunderlich B, Michaelis B, Thévenin D et al (2011) Improved 3-D particle tracking velocimetry with colored particles. J Signal Inf Process 2(02):59
Cierpka C, Rossi M, Segura R, Kähler C (2010) On the calibration of astigmatism particle tracking velocimetry for microflows. Meas Sci Technol 22(1):015401
Cierpka C, Segura R, Hain R, Kähler CJ (2010) A simple single camera 3c3d velocity measurement technique without errors due to depth of correlation and spatial averaging for microfluidics. Meas Sci Technol 21(4):045401
Elsinga GE, Scarano F, Wieneke B, van Oudheusden BW (2006) Tomographic particle image velocimetry. Exp Fluids 41(6):933–947
Fuchs T, Hain R, Kähler CJ (2017) Non-iterative double-frame 2d/3d particle tracking velocimetry. Exp Fluids 58(9):1–5
Huber PJ (1964) Robust estimation of a location parameter. Ann Math Stat 35(1):73–101
Kingma DP, Ba J (2017) Adam: a method for stochastic optimization
Malvar HS, He Lw, Cutler R (2004) High-quality linear interpolation for demosaicing of Bayer-patterned color images. In: 2004 IEEE international conference on acoustics, speech, and signal processing. IEEE, vol 3, pp iii–485
Matsushita H, Mochizuki T, Kaji N (2004) Calibration scheme for three-dimensional particle tracking with a prismatic light. Rev Sci Instrum 75(2):541–545
McGregor T, Spence D, Coutts D (2007) Laser-based volumetric colour-coded three-dimensional particle velocimetry. Opt Laser Eng 45(8):882–889
Moller S, Resagk C, Cierpka C (2020) On the application of neural networks for temperature field measurements using thermochromic liquid crystals. Exp Fluids 61:1–21
Park HJ, Yamagishi S, Osuka S, Tasaka Y, Murai Y (2021) Development of multi-cycle rainbow particle tracking velocimetry improved by particle defocusing technique and an example of its application on twisted savonius turbine. Exp Fluids 62(4):1–15
Pereira F, Stüer H, Graff EC, Gharib M (2006) Two-frame 3d particle tracking. Meas Sci Technol 17(7):1680
Pereira F, Lu J, Castano-Graff E, Gharib M (2007) Microscale 3d flow mapping with \(\mu \)ddpiv. Exp Fluids 42(4):589–599
Prenel J, Bailly Y (2006) Recent evolutions of imagery in fluid mechanics: from standard tomographic visualization to 3d volumic velocimetry. Opt Laser Eng 44(3–4):321–334
Ruck B (2011) Colour-coded tomography in fluid mechanics. Opt Laser Technol 43(2):375–380
Salazar JP, De Jong J, Cao L, Woodward SH, Meng H, Collins LR (2008) Experimental and numerical investigation of inertial particle clustering in isotropic turbulence. J Fluid Mech 600:245
Schanz D, Gesemann S, Schröder A (2016) Shake-the-box: Lagrangian particle tracking at high particle image densities. Exp Fluids 57(5):70
Sheng J, Malkiel E, Katz J (2008) Using digital holographic microscopy for simultaneous measurements of 3d near wall velocity and wall shear stress in a turbulent boundary layer. Exp Fluids 45(6):1023–1035
Shepard D (1968) A two-dimensional interpolation function for irregularly-spaced data. In: Proceedings of the 1968 23rd ACM national conference, association for computing machinery, New York, NY, USA, pp 517–524
Shi S, Ding J, Atkinson C, Soria J, New TH (2018) A detailed comparison of single-camera light-field PIV and tomographic PIV. Exp Fluids 59(3):1–13
Soloff SM, Adrian RJ, Liu ZC (1997) Distortion compensation for generalized stereoscopic particle image velocimetry. Meas Sci Technol 8(12):1441
Takehara K, Etoh T (1998) A study on particle identification in PTV particle mask correlation method. J Vis 1(3):313–323
Tien WH, Dabiri D, Hove JR (2014) Color-coded three-dimensional micro particle tracking velocimetry and application to micro backward-facing step flows. Exp Fluids 55(3):1–14
van Doorne CWH, Westerweel J (2007) Measurement of laminar, transitional and turbulent pipe flow using stereoscopic-PIV. Exp Fluids 42(2):259–279
Watamura T, Tasaka Y, Murai Y (2013) LCD-projector-based 3D color PTV. Exp Therm Fluid Sci 47:68–80
Westerweel J, Scarano F (2005) Universal outlier detection for PIV data. Exp Fluids 39(6):1096–1100
Westerweel J, Elsinga GE, Adrian RJ (2013) Particle image velocimetry for complex and turbulent flows. Annu Rev Fluid Mech 45:409–436
Xiong J, Idoughi R, Aguirre-Pablo AA, Aljedaani AB, Dun X, Fu Q, Thoroddsen ST, Heidrich W (2017) Rainbow particle imaging velocimetry for dense 3d fluid velocity imaging. ACM Trans Graph (TOG) 36(4):1–14
Xiong J, Fu Q, Idoughi R, Heidrich W (2018) Reconfigurable rainbow PIV for 3D flow measurement. In: 2018 IEEE international conference on computational photography (ICCP). IEEE, pp 1–9
Acknowledgements
The authors acknowledge financial support by a Grant-in-Aid for JSPS Fellows (Grant No. JP19J20096).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Noto, D., Tasaka, Y. & Murai, Y. In situ color-to-depth calibration: toward practical three-dimensional color particle tracking velocimetry. Exp Fluids 62, 131 (2021). https://doi.org/10.1007/s00348-021-03220-9
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00348-021-03220-9