• Laser & Optoelectronics Progress
  • Vol. 56, Issue 14, 141005 (2019)
Kuangyu Huang1, Yunchao Tang2, Xiangjun Zou1、*, Mingyou Chen1, Yamei Fang1, and Ziyi Lei1
Author Affiliations
  • 1 College of Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China
  • 2 College of Urban and Rural Construction, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong 510225, China
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    DOI: 10.3788/LOP56.141005 Cite this Article Set citation alerts
    Kuangyu Huang, Yunchao Tang, Xiangjun Zou, Mingyou Chen, Yamei Fang, Ziyi Lei. Poisson Surface Reconstruction Algorithm Based on Improved Normal Orientation[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141005 Copy Citation Text show less
    Ambiguity of normal orientation
    Fig. 1. Ambiguity of normal orientation
    Schematic of two-dimensional points. (a) Number of theoretical intersections; (b) phenomena caused by excessive error threshold
    Fig. 2. Schematic of two-dimensional points. (a) Number of theoretical intersections; (b) phenomena caused by excessive error threshold
    Flow chart of spatial division and algorithm for judging voxel centroid position
    Fig. 3. Flow chart of spatial division and algorithm for judging voxel centroid position
    Normal of point cloud inside voxel from different perspectives. (a) Perspective 1: without orientation; (b) perspective 2: without orientation; (c) perspective 1: initial orientation; (d) perspective 2: initial orientation
    Fig. 4. Normal of point cloud inside voxel from different perspectives. (a) Perspective 1: without orientation; (b) perspective 2: without orientation; (c) perspective 1: initial orientation; (d) perspective 2: initial orientation
    Flow chart of normal initial orientation algorithm
    Fig. 5. Flow chart of normal initial orientation algorithm
    Flow chart of normal quadratic orientation algorithm
    Fig. 6. Flow chart of normal quadratic orientation algorithm
    Comparison of frontage effects of three models before and after improvement. (a) Normal estimate by proposed method; (b) Poisson surface reconstruction by proposed method; (c) normal estimation from Ref. [11]; (d) Poisson surface reconstruction from Ref. [11]
    Fig. 7. Comparison of frontage effects of three models before and after improvement. (a) Normal estimate by proposed method; (b) Poisson surface reconstruction by proposed method; (c) normal estimation from Ref. [11]; (d) Poisson surface reconstruction from Ref. [11]
    Comparison of backside effects of three models before and after improvement. (a) Normal estimate by proposed method; (b) Poisson surface reconstruction by proposed method; (c) normal estimation from Ref. [11]; (d) Poisson surface reconstruction from Ref. [11]
    Fig. 8. Comparison of backside effects of three models before and after improvement. (a) Normal estimate by proposed method; (b) Poisson surface reconstruction by proposed method; (c) normal estimation from Ref. [11]; (d) Poisson surface reconstruction from Ref. [11]
    ModelMethod inRef. [11]Method inRef. [16]Proposedmethod
    Cube0.13930.03100.0259
    Cylinder0.14850.03090.0291
    Table 1. RMS for cube and cylinder models by different methods
    ModelMethod in Ref. [11]Method in Ref. [16]Proposed method
    NormalestimationPoisson surfacereconstructionNormalestimationPoisson surfacereconstructionNormalestimationPoisson surfacereconstruction
    Cube2.913.98.511.69.211.9
    Cylinder10.832.429.429.927.629.3
    Table 2. Time-consuming comparison of normal estimation and surface reconstruction by three methodss
    Kuangyu Huang, Yunchao Tang, Xiangjun Zou, Mingyou Chen, Yamei Fang, Ziyi Lei. Poisson Surface Reconstruction Algorithm Based on Improved Normal Orientation[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141005
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