Acta Optica Sinica, Volume. 41, Issue 9, 0912001(2021)

Adaptive Structured Light Projection Modulation Method Based on BRDF Model

Jingyu Zhang1, Jieji Ren1, Fei Li2, Xiaohan Pei1, and Mingjun Ren1、*
Author Affiliations
  • 1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2The Second System Design, The Second Research Academy, CASIC, Beijing 100854, China
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    Measuring the three-dimensional (3D) shape of metal parts is essential for evaluating their processing quality. The 3D reconstruction scheme based on structured light is affected by the bright reflections from the metal parts, which lead to reduced signal-to-noise ratio and loss of data. To solve the highlighting problem in the detection of metal parts, an adaptive fringe projection measurement scheme is proposed herein and is applied to the measurement of shape and dimension of metal surface. The highlight area of the image is detected by a combined thresholding method and color-space transformation method. The transformation relationship between the camera and projector is obtained by a projection-camera dual-view search method based on an epipolar constraint. The modulation parameters are generated by a scheme based on the bidirectional reflectance distribution function (BRDF) optical imaging model. The BRDF-based scheme realizes pixel-level modulation of the projection fringe. In addition to reducing the number of projections and improving the measurement efficiency, the compensation rate of invalid area obtained by the proposed method is 51.3% in the highlight area measurement results, and the measurement accuracy is improved up 77.4%.

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    Jingyu Zhang, Jieji Ren, Fei Li, Xiaohan Pei, Mingjun Ren. Adaptive Structured Light Projection Modulation Method Based on BRDF Model[J]. Acta Optica Sinica, 2021, 41(9): 0912001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Sep. 24, 2020

    Accepted: Dec. 1, 2020

    Published Online: May. 8, 2021

    The Author Email: Ren Mingjun (renmj@sjtu.edu.cn)

    DOI:10.3788/AOS202141.0912001

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