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Fringe Projection Profilometry

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Coded Optical Imaging

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Abstract

Driven by industrial needs, medical applications, and entertainment, three-dimensional (3D) surface measurement techniques have received extensive studies. As one of the most popular techniques for non-contact 3D surface measurement, fringe projection profilometry (FPP) has been growing rapidly over the past decades. By leveraging the structured light illumination with triangulation, FPP has demonstrated its uniqueness with high measurement accuracy, fast speed, easy implementation, and robustness with imaging complex shapes of multiple objects. This chapter presents an overview of the mainstream methods for fringe generation and analysis. Typical error sources in FPP are discussed, and corresponding solutions are reviewed. In addition, representative applications of FPP in both industry and scientific studies are included.

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Authors and Affiliations

  1. Laboratory of Applied Computational Imaging, Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, Varennes, Québec, Canada

    Cheng Jiang & Jinyang Liang

  2. Smart Computational Imaging (SCI) Laboratory, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, China

    Yixuan Li, Shijie Feng, Yan Hu, Wei Yin, Jiaming Qian & Chao Zuo

  3. Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, China

    Yixuan Li, Shijie Feng, Yan Hu, Wei Yin, Jiaming Qian & Chao Zuo

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  1. Cheng Jiang
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Correspondence to Chao Zuo or Jinyang Liang .

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    Jinyang Liang

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Jiang, C. et al. (2024). Fringe Projection Profilometry. In: Liang, J. (eds) Coded Optical Imaging. Springer, Cham. https://doi.org/10.1007/978-3-031-39062-3_14

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