Infrared and Laser Engineering, Volume. 49, Issue 3, 0303006(2020)

Three-dimensional shape measurement techniques of shiny surfaces

Zonghua Zhang1...2, Jin Yu1, Nan Gao2 and Zhaozong Meng2 |Show fewer author(s)
Author Affiliations
  • 1State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
  • 2School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China
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    Figures & Tables(4)
    The measurement results of the car door by using methods proposed by Chen[41] et al; (a) captured single intensity fringe; (b) absolute phase map from (a); (c) 3D data calculated by using a single intensity fringe pattern; (d) captured adaptive fringe; (e) absolute phase map from (d); (f) 3D data calculated by using an adaptive fringe pattern
    The measurement results of the car door by using methods proposed by Chen[46] et al; (a) captured patterns at the uniform gray-level pattern sequence ranging from 255 to 55; (b) calculated mask pattern separately; (c) composited image; (d) optimal projection pattern; (e) projected adaptive fringe pattern; (f) captured adaptive fringe pattern; (g) absolute phase image; (h) constructed 3D data
    • Table 1. Advantages and disadvantages of various methods in HDR technology

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      Table 1. Advantages and disadvantages of various methods in HDR technology

      MethodRef.AdvantageDisadvantage
      Multiple exposures[28][30] High accuracy. High SNR. No additional hardware. Complex textures and colorsLots of fringe patterns-Low efficiency. A certain blindness for unknown scenes
      Adjusting projected pattern intensities[40][41] High SNR. No a priori neededLow efficiency. No auto- prediction of parameters. Offline applications
      Polarizing filters[51] High accuracy. Possible online applications. Measuring mirror like objectsLow SNR. Complexity of hardware. No measure dark surface
      Color invariants[61] No priori step and postprocessing. Online applicationsLow accuracy. No complex textures and colors
      Photometric stereo[65] High accuracyOffline applications. Additional hardware
    • Table 2. Comparison of typical methods in HDR technology

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      Table 2. Comparison of typical methods in HDR technology

      MethodRef.Number of projectionsAccuracy/mm
      Multipleexposures[30] 7×3×3=740.016
      Adjusting projected pattern intensities[41] 25+12=370.025
      Polarizing filters[28] 1+4×3=130.045
      Color invariants[61] 40.506
      Photometric stereo[65] 300.005
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    Zonghua Zhang, Jin Yu, Nan Gao, Zhaozong Meng. Three-dimensional shape measurement techniques of shiny surfaces[J]. Infrared and Laser Engineering, 2020, 49(3): 0303006

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    Paper Information

    Received: Dec. 28, 2019

    Accepted: --

    Published Online: Apr. 22, 2020

    The Author Email:

    DOI:10.3788/IRLA202049.0303006

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