Laser & Optoelectronics Progress, Volume. 61, Issue 20, 2011002(2024)

3D Imaging Based on the Adaptive Distribution of Projection Intensity in Overexposed Connected Domains (Invited)

Ziqiang Wei1,2, Sudong Ding1,2, Yan Hu1,2、*, Shuang Mu3, Kehui Wang4, Kun Gui4, Shijie Feng1,2, Chao Zuo1,2, and Qian Chen2
Author Affiliations
  • 1Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu , China
  • 2Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing 210094, Jiangsu , China
  • 3Shanghai Aerospace Control Technology Institute, Shanghai 201109, China
  • 4Konfoong Bioinformation Technology CO., LTD., Ningbo 315400, Zhejiang , China
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    This study proposes a simple and robust adaptive fringe projection method for the 3D measurement of highlighted surfaces. The method initially projects a uniform white pattern to help identify overexposed regions and extract boundaries. These boundaries are then mapped to a projector pixel coordinate system. The pixel intensities within the boundaries are reduced to regenerate new fringe maps with brightness distributions adapted to the sample. Finally, this process is repeated until no overexposed regions remain in the acquired images. Conventional methods use multiple exposures and adaptive projection, have complicated operations and calculations, and must capture a large number of fringe images. By contrast, the proposed method just needs to capture fewer patterns and is easier to implement. Experimental results demonstrate that the proposed method can accurately measure the highlighted surface of biological tissue and reconstruct complete and high-precision 3D profiles.

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    Ziqiang Wei, Sudong Ding, Yan Hu, Shuang Mu, Kehui Wang, Kun Gui, Shijie Feng, Chao Zuo, Qian Chen. 3D Imaging Based on the Adaptive Distribution of Projection Intensity in Overexposed Connected Domains (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(20): 2011002

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    Paper Information

    Category: Imaging Systems

    Received: Jun. 28, 2024

    Accepted: Jul. 29, 2024

    Published Online: Nov. 8, 2024

    The Author Email: Hu Yan (hu_yan@njust.edu.cn)

    DOI:10.3788/LOP241569

    CSTR:32186.14.LOP241569

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