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Calibration of fringe projection profilometry: A comparative review

期刊

OPTICS AND LASERS IN ENGINEERING
卷 143, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2021.106622

关键词

Fringe projection; Calibration; 3D measurement; Structured light; Phase retrieval

类别

资金

  1. National Natural Science Foundation of China [61722506, 61705105]
  2. National Key R&D Program of China [2017YFF0106403]
  3. Leading Technology of Jiangsu Basic Research Plan [BK20192003]
  4. Final Assembly 13th Five-Year Plan Advanced Research Project of China [30102070102]
  5. Equipment Advanced Research Fund of China [61404150202]
  6. Key Research and Development Program of Jiangsu Province [BE2017162]
  7. Outstanding Youth Foundation of Jiangsu Province [BK20170034]
  8. National Defense Science and Technology Foundation of China [2019JCJQ-JJ-381]
  9. 333 Engineering Research Project of Jiangsu Province [BRA2016407]
  10. Fundamental Research Funds for the Central Universities [30920032101, 30919011222, 30917011204, 30916011322]

向作者/读者索取更多资源

In this work, a review of some of the most commonly used calibration methods in fringe projection profilometry is presented. The study covers basic principles, advantages, limitations, and factors affecting the performance of calibration methods. Quantitative and qualitative comparative experiments are used to showcase the advantages and suitability of each method.
Fringe projection profilometry is widely used for three-dimensional (3D) measurements. System calibration is crucial to fringe projection systems, since it determines how the phase is converted into 3D geometry. Many methods and studies on calibration have been presented in the last few years. However, a comparative overview on the accuracy and the implementation details is still lacking. In this work, we present a review of some of the most used calibration methods. First, the basic principles are reviewed. Then, both quantitative and qualitative comparative experiments are implemented to show the advantages and constraints of each method. Further, a number of factors that may affect the performance of the calibration are discussed. Sample codes are available for better comprehension and a quick start of these methods.

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