Acta Optica Sinica, Volume. 41, Issue 24, 2411004(2021)

Control Point Extraction and Optimization Method of Laser Scanning Projection Graphics Based on Feature Adaptation

Tianxiong Li, Maosheng Hou*, Lijuan Li, Tao Liu, Zhengxue Shi, and Jialiang Yang
Author Affiliations
  • School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    Figures & Tables(18)
    Overall flow chart of proposed method
    B-spline curve drawn by CAD software
    Projection graph feature regional division. (a) Theoretical model of projection curve; (b) non-feature point set; (c) feature point set
    Distance d from the point to be diluted to the corresponding straight line
    Data point dilution process based on the spatial resolution of the human eye
    Projection experimental device. (a) Projection experiment board; (b) self-developed laser scanning projection system
    Optimization and projection results of M1 curve. (a) Theory digital model of M1 curve; (b) simulation result of the proposed optimization method; (c) simulation result of chord height compression algorithm; (d) projection result of the proposed optimization method; (e)(f) detailed drawings of the frames in Fig. 7(b)
    Optimization and projection results of M2 curve. (a) Theory digital model of M2 curve; (b) simulation result of the proposed optimization method; (c) simulation result of chord height compression algorithm; (d) projection result of the proposed optimization method; (e)(f) detailed drawings of the frames in Fig. 8(b)
    Optimization and projection results of M3 curve. (a) Theory digital model of M3 curve; (b) simulation result of the proposed optimization method; (c) simulation result of chord height compression algorithm; (d) projection result of the proposed optimization method; (e)(f) detailed drawings of the frames in Fig. 9(b)
    Optimization and projection results of M4 curve. (a) Theory digital model of M4 curve; (b) simulation result of the proposed optimization method; (c) simulation result of chord height compression algorithm; (d) projection result of the proposed optimization method; (e)(f) detailed drawings of the frames in Fig. 10(b)
    Projection effects of complex curves by different methods. (a) Chord height compression algorithm; (b) proposed method
    Projection effects before and after the optimization of the FARO projection system by the proposed method. (a) FARO laser projector; (b) optimized projection; (c) unoptimized projection
    Curved surface projection effects of 3D graphics using the self-developed scanning projection system. (a) Theoretical model; (b) physical map; (c) front view of projection; (d) side view of projection
    Plane projection effects of 3D graphics using the self-developed scanning projection system. (a) Theoretical model; (b) physical map; (c) front view of projection; (d) side view of projection
    • Table 1. Analysis results of three-dimensional coordinate point in the B-spline curve

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      Table 1. Analysis results of three-dimensional coordinate point in the B-spline curve

      Point No.12345678910
      x /mm06.6814.4824.2338.5461.4675.7785.5293.32100
      y /mm024.9449.5473.4394.7594.7573.4349.5424.930
      z /mm0000000000
    • Table 2. Condensed results of the proposed algorithm for different models

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      Table 2. Condensed results of the proposed algorithm for different models

      Model No.M1M2M3M4
      Number of initial data points1000100010001000
      Dilution result42475533
      Dilution ratio /%95.895.394.596.7
      Scanning frequency /Hz90.580.969.1115.2
    • Table 3. Dilution results and reduction ratios of different algorithms

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      Table 3. Dilution results and reduction ratios of different algorithms

      AlgorithmM1M2M3M4
      DilutionresultDilutionratio /%DilutionresultDilutionratio /%DilutionresultDilutionratio /%DilutionresultDilutionratio /%
      Chord height compression algorithm5794.360947392.74395.7
      Normal vector compression algorithm7292.87892.211288.86793.3
      Curvature compression algorithm28571.529470.632467.629270.8
    • Table 4. Data comparison of two optimization methods

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      Table 4. Data comparison of two optimization methods

      MethodSampling rate /(Sa·s-1)Number of control pointsScanning frequency /Hz
      Chord height compression algorithm380023316.3
      Proposed method380017721.5
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    Tianxiong Li, Maosheng Hou, Lijuan Li, Tao Liu, Zhengxue Shi, Jialiang Yang. Control Point Extraction and Optimization Method of Laser Scanning Projection Graphics Based on Feature Adaptation[J]. Acta Optica Sinica, 2021, 41(24): 2411004

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 29, 2021

    Accepted: Jun. 28, 2021

    Published Online: Nov. 30, 2021

    The Author Email: Hou Maosheng (houmsh@cust.edu.cn)

    DOI:10.3788/AOS202141.2411004

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