• Acta Photonica Sinica
  • Vol. 49, Issue 8, 0812002 (2020)
Gao-fei GU, Jun ZHAO, Ming KONG*, Tian-tai GUO, and Dao-dang WANG
Author Affiliations
  • College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China
  • show less
    DOI: 10.3788/gzxb20204908.0812002 Cite this Article
    Gao-fei GU, Jun ZHAO, Ming KONG, Tian-tai GUO, Dao-dang WANG. Tomographic Three-dimensional Particle Position Measurement Based on Light Field Camera[J]. Acta Photonica Sinica, 2020, 49(8): 0812002 Copy Citation Text show less
    Structure schematic of Lytro light field camera
    Fig. 1. Structure schematic of Lytro light field camera
    Schematic diagram of biplane parameter method
    Fig. 2. Schematic diagram of biplane parameter method
    Blob model in macro and sectional view of particle intensity
    Fig. 3. Blob model in macro and sectional view of particle intensity
    Schematic diagram of tomographic reverse light tracing
    Fig. 4. Schematic diagram of tomographic reverse light tracing
    2D calculation of weighting matrix
    Fig. 5. 2D calculation of weighting matrix
    Schematic of calculating particle depth position using similar triangle method
    Fig. 6. Schematic of calculating particle depth position using similar triangle method
    Lytro camera
    Fig. 7. Lytro camera
    Enlarged and detail images of particle after demosaicing
    Fig. 8. Enlarged and detail images of particle after demosaicing
    Enlarged and detail images of particle after decoding
    Fig. 9. Enlarged and detail images of particle after decoding
    Particle images after orthogonal resampling
    Fig. 10. Particle images after orthogonal resampling
    Experiment device
    Fig. 11. Experiment device
    Relative error of particle inversion position using MART algorithm
    Fig. 12. Relative error of particle inversion position using MART algorithm
    Relative error of particle inversion position using improved MART algorithm
    Fig. 13. Relative error of particle inversion position using improved MART algorithm
    Absolute error of 3D position inversion of random particles
    Fig. 14. Absolute error of 3D position inversion of random particles
    Band/nmPhysical parameterValue
    Main lensFocal length(1.3×)8.20 cm
    Aperture3.373 cm
    Lens pitch14 μm
    Number in horizontal direction328
    Number in vertical direction328
    Distance from the main lens6.44 cm
    Microlens arrayRotation0.000 570 190 8°
    Horizontal direction3.534 4 μmm
    OffsetVertical direction-4.532 7 μm
    Depth direction25 μm
    SensorPixel pitch1.399 9 μm
    Number of pixels in horizontal direction3 280
    Number of pixels in vertical direction3 280
    CCD length4.59 mm
    CCD width4.59 mm
    Table 1. Physical parameters of Lytro camera
    NumberParticle theoretical coordinates/mmParticle inversion coordinates/mm
    xyzx'y'z'
    120.211.6301.820.3411.46300.44
    241.319.9295.141.3819.78296.60
    356.122.3274.956.1022.46273.80
    417.814.7310.017.6614.58311.24
    528.728.8262.928.6628.82263.72
    649.415.1255.349.5014.98256.92
    733.220.2327.733.0620.38326.60
    825.326.3330.525.4226.46329.48
    936.517.6348.436.6617.74348.92
    1051.512.2307.251.4612.14309.00
    Table 2. 3D position inversion results of random particles
    Gao-fei GU, Jun ZHAO, Ming KONG, Tian-tai GUO, Dao-dang WANG. Tomographic Three-dimensional Particle Position Measurement Based on Light Field Camera[J]. Acta Photonica Sinica, 2020, 49(8): 0812002
    Download Citation