Acta Optica Sinica, Volume. 41, Issue 12, 1220001(2021)

Non-iterative Discrete Gradient Integration Method Based on Two-Dimensional Taylor Theory

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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    Figures & Tables(16)
    Schematic of sampling point distribution. (a) Standard rectangular distribution; (b) non-standard rectangular distribution
    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
    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
    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
    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
    Influence of the number of sampling points on the computing time
    Setup of polarization reconstruction method based on circular polarized light
    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
    Reconstructed surface in the experiment
    Reconstruction error map by different methods. (a) Proposed method; (b) Southwell method after resampling
    • Table 1. Height relationship corresponding to each model

      View table

      Table 1. Height relationship corresponding to each model

      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
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    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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    Paper Information

    Category: Optics in Computing

    Received: Dec. 1, 2020

    Accepted: Jan. 22, 2021

    Published Online: Jun. 2, 2021

    The Author Email: Lü Yaowen (lvyaowen2005@163.com), Xu Xiping (xxp@cust.edu.cn)

    DOI:10.3788/AOS202141.1220001

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