PhotoniX, Volume. 5, Issue 1, 25(2024)

Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera

Wenwu Chen1...2,3, Shijie Feng1,2,3,*, Wei Yin1,2,3, Yixuan Li1,2,3, Jiaming Qian1,2,3, Qian Chen3,**, and Chao Zuo1,23,*** |Show fewer author(s)
Author Affiliations
  • 1Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 Jiangsu Province, China
  • 2Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, 210019 Jiangsu Province, China
  • 3Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, 210094 Jiangsu Province, China
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    References(43)

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    [14] [14] Zuo C, Tao T, Feng S, Huang L, Asundi A, Chen Q. Micro Fourier transform profilometry (μFTP): 3D shape measurement at 10,000 frames per second. Optics Lasers Eng. 2018;102:70–91.

    [33] [33] Weise T, Leibe B, Van Gool L. Fast 3D Scanning with Automatic Motion Compensation. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis: IEEE; 2007. pp. 1–8.

    [35] [35] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation. In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18. Springer; 2015. p. 234–241.

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    Wenwu Chen, Shijie Feng, Wei Yin, Yixuan Li, Jiaming Qian, Qian Chen, Chao Zuo. Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera[J]. PhotoniX, 2024, 5(1): 25

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    Paper Information

    Category: Research Articles

    Received: May. 7, 2024

    Accepted: Aug. 2, 2024

    Published Online: Jan. 23, 2025

    The Author Email: Feng Shijie (shijiefeng@njust.edu.cn), Chen Qian (chenqian@njust.edu.cn), Zuo Chao (zuochao@njust.edu.cn)

    DOI:10.1186/s43074-024-00139-2

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