• Acta Optica Sinica
  • Vol. 41, Issue 12, 1220001 (2021)
Xuanrui Gong, Zhuang Sun, Yaowen Lü*, and Xiping Xu**
Author Affiliations
  • Key Laboratory of Opto-Electronic Measurement and Optical Information Transmission Technology of Ministry of Education, School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130033, China
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    DOI: 10.3788/AOS202141.1220001 Cite this Article Set citation alerts
    Xuanrui Gong, Zhuang Sun, Yaowen Lü, Xiping Xu. Non-iterative Discrete Gradient Integration Method Based on Two-Dimensional Taylor Theory[J]. Acta Optica Sinica, 2021, 41(12): 1220001 Copy Citation Text show less
    Schematic of sampling point distribution. (a) Standard rectangular distribution; (b) non-standard rectangular distribution
    Fig. 1. Schematic of sampling point distribution. (a) Standard rectangular distribution; (b) non-standard rectangular distribution
    Schematic of filling non-matrix data
    Fig. 2. Schematic of filling non-matrix data
    Height map corresponding to three distributions of sampling points. (a) Standard rectangular distribution; (b) barrel distribution; (c) pillow distribution
    Fig. 3. Height map corresponding to three distributions of sampling points. (a) Standard rectangular distribution; (b) barrel distribution; (c) pillow distribution
    Surfaces reconstructed by proposed method. (a) Standard rectangular distribution; (b) barrel distribution; (c) pillow distribution
    Fig. 4. Surfaces reconstructed by proposed method. (a) Standard rectangular distribution; (b) barrel distribution; (c) pillow distribution
    Reconstruction error corresponding to standard rectangular distribution. (a) Proposed method; (b) Southwell method; (c) LSI-T method
    Fig. 5. Reconstruction error corresponding to standard rectangular distribution. (a) Proposed method; (b) Southwell method; (c) LSI-T method
    Reconstruction error corresponding to barrel distribution. (a) Proposed method; (b) Southwell method after resampling; (c) LSI-T method
    Fig. 6. Reconstruction error corresponding to barrel distribution. (a) Proposed method; (b) Southwell method after resampling; (c) LSI-T method
    Reconstruction error corresponding to pillow distribution. (a) Proposed method; (b) Southwell method after resampling; (c) LSI-T method
    Fig. 7. Reconstruction error corresponding to pillow distribution. (a) Proposed method; (b) Southwell method after resampling; (c) LSI-T method
    Schematic of the position of the target and blank points in the matrix. (a) Circular area; (b) area with small holes
    Fig. 8. Schematic of the position of the target and blank points in the matrix. (a) Circular area; (b) area with small holes
    Comparison of computing time in two areas
    Fig. 9. Comparison of computing time in two areas
    Influence of the number of sampling points on the computing time
    Fig. 10. Influence of the number of sampling points on the computing time
    Setup of polarization reconstruction method based on circular polarized light
    Fig. 11. Setup of polarization reconstruction method based on circular polarized light
    Intensity at different rotation angles of the wave plate within the target area
    Fig. 12. Intensity at different rotation angles of the wave plate within the target area
    Gradient distribution in the target area. (a) Gradient along x direction; (b) gradient along y direction
    Fig. 13. Gradient distribution in the target area. (a) Gradient along x direction; (b) gradient along y direction
    Reconstructed surface in the experiment
    Fig. 14. Reconstructed surface in the experiment
    Reconstruction error map by different methods. (a) Proposed method; (b) Southwell method after resampling
    Fig. 15. Reconstruction error map by different methods. (a) Proposed method; (b) Southwell method after resampling
    MethodHeight relationship
    Proposed methodZm,n+1-Zm,n=0.5(Xm,n+1-Xm,n)(Zm,n+1x+Zm,nx)+0.5(Ym,n+1-Ym,n)(Zm,n+1y+Zm,ny)Zm+1,n-Zm,n=0.5(Xm+1,n-Xm,n)(Zm+1,nx+Zm,nx)+0.5(Ym+1,n-Ym,n)(Zm+1,ny+Zm,ny)
    Southwell methodZm,n+1-Zm,n=0.5(Xm,n+1-Xm,n)(Zm,n+1x+Zm,nx)Zm+1,n-Zm,n=0.5(Ym+1,n-Ym,n)(Zm+1,ny+Zm,ny)
    LSI-T methodZm,n+2-Zm,n=Zm,n+1x(Xm,n+2-Xm,n)+Zm,n+1y(Ym,n+2-Ym,n)Zm+2,n-Zm,n=Zm+1,nx(Xm+2,n-Xm,n)+Zm+1,ny(Ym+2,n-Ym,n)Zm,n+1-Zm,n=Z'm,n+1-Z'm,nZm+1,n-Zm,n=Z'm+1,n-Z'm,n
    Table 1. Height relationship corresponding to each model
    Xuanrui Gong, Zhuang Sun, Yaowen Lü, Xiping Xu. Non-iterative Discrete Gradient Integration Method Based on Two-Dimensional Taylor Theory[J]. Acta Optica Sinica, 2021, 41(12): 1220001
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