Abstract

Multi-line Structured Light Projection System (MSLPS) is widely used with the advantages of high-contrast stripes and high robustness in high-speed dynamic reconstruction in comparison with Phase Modulation System (PMS). However, existing calibration methods are either sophisticated or low-accuracy in large visual field application because the bending of line structured light plane caused by lens distortion is inevitable and projector calibration is necessary. Therefore, in this paper, we present an accurate and robust calibration method based on ray-tracing, which establishes accurate relationship between subpixel coordinates of each bending line structured light plane and 3D coordinates based on camera coordinate system without projector calibration. As long as placing a checkerboard at random positions, MSLPS can be calibrated and hence is more suitable in practical application. Experimental results demonstrated that, compared with existing line structured light strategies, the proposed method could achieve more accurate and robust 3D reconstruction and the calibration process is simpler and easier to implement.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Full Article  |  PDF Article
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References

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  1. O. Hall-Holt and S. Rusinkiewicz, “Stripe boundary codes for real-time structured-light range scanningof moving objects,” Proc. 8th IEEE Int. Conf. on Computer Vision2, 359–366 (2001).
  2. J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
    [Crossref]
  3. I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).
    [Crossref]
  4. M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
    [Crossref]
  5. E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
    [Crossref]
  6. J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).
    [Crossref]
  7. C. Chen and Y. F. Zheng, “Passive and Active Stereo Vision for Smooth Surface Detection of Deformed Plates,” IEEE Trans. Ind. Electron. 42(3), 300–306 (1995).
    [Crossref]
  8. J. Gühring, “Dense 3-D surface acquisition by structured light using off-the-shelf components,” Videometrics and Optical Methods for 3D Shape Measurement 4309, 220–231 (2000).
    [Crossref]
  9. Z. Song, R. Chung, and X. T. Zhang, “An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D,” IEEE Trans. Ind. Electron. 60(3), 1023–1032 (2013).
    [Crossref]
  10. Z. Wang, “Robust three-dimensional face reconstruction by one-shot structured light line pattern,” Opt. Lasers Eng. 124, 105798 (2020).
    [Crossref]
  11. D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vision 33(1), 73–86 (1999).
    [Crossref]
  12. H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
    [Crossref]
  13. R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
    [Crossref]
  14. W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).
  15. H. Dong, A. Chimienti, and G. Menga, “Accuracy improvement in structured light system calibration using plane based residual error compensation,” in 2013 forth European Workshop on Visual Information Processing, 154–162 (2013).
  16. R. Juarez-Salazar and V. H. Diaz-Ramirez, “Flexible camera-projector calibration using superposed color checkerboards,” Opt. Lasers Eng. 120, 59–65 (2019).
    [Crossref]
  17. Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).
  18. J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

2020 (1)

Z. Wang, “Robust three-dimensional face reconstruction by one-shot structured light line pattern,” Opt. Lasers Eng. 124, 105798 (2020).
[Crossref]

2019 (1)

R. Juarez-Salazar and V. H. Diaz-Ramirez, “Flexible camera-projector calibration using superposed color checkerboards,” Opt. Lasers Eng. 120, 59–65 (2019).
[Crossref]

2016 (1)

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
[Crossref]

2014 (3)

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).
[Crossref]

M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
[Crossref]

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

2013 (1)

Z. Song, R. Chung, and X. T. Zhang, “An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D,” IEEE Trans. Ind. Electron. 60(3), 1023–1032 (2013).
[Crossref]

2012 (2)

J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).
[Crossref]

2011 (1)

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

2007 (1)

Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).

2006 (1)

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

2000 (1)

J. Gühring, “Dense 3-D surface acquisition by structured light using off-the-shelf components,” Videometrics and Optical Methods for 3D Shape Measurement 4309, 220–231 (2000).
[Crossref]

1999 (1)

D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vision 33(1), 73–86 (1999).
[Crossref]

1995 (1)

C. Chen and Y. F. Zheng, “Passive and Active Stereo Vision for Smooth Surface Detection of Deformed Plates,” IEEE Trans. Ind. Electron. 42(3), 300–306 (1995).
[Crossref]

Aanæs, H.

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
[Crossref]

Ayaz, S. M.

M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
[Crossref]

Brèque, C.

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).
[Crossref]

Chen, C.

C. Chen and Y. F. Zheng, “Passive and Active Stereo Vision for Smooth Surface Detection of Deformed Plates,” IEEE Trans. Ind. Electron. 42(3), 300–306 (1995).
[Crossref]

Chen, Y.

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

Chimienti, A.

H. Dong, A. Chimienti, and G. Menga, “Accuracy improvement in structured light system calibration using plane based residual error compensation,” in 2013 forth European Workshop on Visual Information Processing, 154–162 (2013).

Chung, R.

Z. Song, R. Chung, and X. T. Zhang, “An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D,” IEEE Trans. Ind. Electron. 60(3), 1023–1032 (2013).
[Crossref]

Deng, L.

J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

Diaz-Ramirez, V. H.

R. Juarez-Salazar and V. H. Diaz-Ramirez, “Flexible camera-projector calibration using superposed color checkerboards,” Opt. Lasers Eng. 120, 59–65 (2019).
[Crossref]

Dong, H.

H. Dong, A. Chimienti, and G. Menga, “Accuracy improvement in structured light system calibration using plane based residual error compensation,” in 2013 forth European Workshop on Visual Information Processing, 154–162 (2013).

Eiríksson, E. R.

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
[Crossref]

Gregory, J.

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

Guan, C. R.

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

Gühring, J.

J. Gühring, “Dense 3-D surface acquisition by structured light using off-the-shelf components,” Videometrics and Optical Methods for 3D Shape Measurement 4309, 220–231 (2000).
[Crossref]

Hall-Holt, O.

O. Hall-Holt and S. Rusinkiewicz, “Stripe boundary codes for real-time structured-light range scanningof moving objects,” Proc. 8th IEEE Int. Conf. on Computer Vision2, 359–366 (2001).

Hartmann, P. E.

D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vision 33(1), 73–86 (1999).
[Crossref]

Hou, Y.

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

Huang, J. H.

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).
[Crossref]

Hui, B.

Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).

Huo, J. C.

J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

Huynh, D. Q.

D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vision 33(1), 73–86 (1999).
[Crossref]

Ji, R.

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

Juarez-Salazar, R.

R. Juarez-Salazar and V. H. Diaz-Ramirez, “Flexible camera-projector calibration using superposed color checkerboards,” Opt. Lasers Eng. 120, 59–65 (2019).
[Crossref]

Kim, M. Y.

M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
[Crossref]

Léandry, I.

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).
[Crossref]

Li, G.

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

Li, J.

W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).

Li, J. Z.

Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).

Menga, G.

H. Dong, A. Chimienti, and G. Menga, “Accuracy improvement in structured light system calibration using plane based residual error compensation,” in 2013 forth European Workshop on Visual Information Processing, 154–162 (2013).

Owens, R. A.

D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vision 33(1), 73–86 (1999).
[Crossref]

Park, J.

M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
[Crossref]

Pedersen, D. B.

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
[Crossref]

Roh, Y. J.

M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
[Crossref]

Rusinkiewicz, S.

O. Hall-Holt and S. Rusinkiewicz, “Stripe boundary codes for real-time structured-light range scanningof moving objects,” Proc. 8th IEEE Int. Conf. on Computer Vision2, 359–366 (2001).

Shi, Q. A.

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

Song, Z.

Z. Song, R. Chung, and X. T. Zhang, “An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D,” IEEE Trans. Ind. Electron. 60(3), 1023–1032 (2013).
[Crossref]

Su, X. Y.

Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).

Sun, Q.

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

Tan, Q.

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

Tian, L.

W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).

Valle, V.

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).
[Crossref]

Wang, Z.

Z. Wang, “Robust three-dimensional face reconstruction by one-shot structured light line pattern,” Opt. Lasers Eng. 124, 105798 (2020).
[Crossref]

Wilm, J.

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
[Crossref]

Wu, H. B.

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

Wu, M. Y.

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

Wu, Q. Y.

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).
[Crossref]

J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).

Xi, N.

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

Xin, Q.

W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).

Xu, J.

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

Yang, Y.

W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).

Yu, X. Y.

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

Zeng, X. J.

J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

Zhang, C.

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

Zhang, X. T.

Z. Song, R. Chung, and X. T. Zhang, “An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D,” IEEE Trans. Ind. Electron. 60(3), 1023–1032 (2013).
[Crossref]

Zheng, Y. F.

C. Chen and Y. F. Zheng, “Passive and Active Stereo Vision for Smooth Surface Detection of Deformed Plates,” IEEE Trans. Ind. Electron. 42(3), 300–306 (1995).
[Crossref]

Zhu, W.

W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).

Eng. Sci. Technol. (1)

Q. Y. Wu, X. Y. Su, J. Z. Li, and B. Hui, “A new algorithm for center extraction of line structured light,” Eng. Sci. Technol. 39(4), 151–155 (2007). (in Chinese).

IEEE Trans. Ind. Electron. (2)

C. Chen and Y. F. Zheng, “Passive and Active Stereo Vision for Smooth Surface Detection of Deformed Plates,” IEEE Trans. Ind. Electron. 42(3), 300–306 (1995).
[Crossref]

Z. Song, R. Chung, and X. T. Zhang, “An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D,” IEEE Trans. Ind. Electron. 60(3), 1023–1032 (2013).
[Crossref]

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (1)

E. R. Eiríksson, J. Wilm, D. B. Pedersen, and H. Aanæs, “Precision and Accuracy Parameters in Structured Light 3-D Scanning,” Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XL-5/W8, 7–15 (2016).
[Crossref]

Int. J. Comput. Vision (1)

D. Q. Huynh, R. A. Owens, and P. E. Hartmann, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vision 33(1), 73–86 (1999).
[Crossref]

J. Phys.: Conf. Ser. (1)

H. B. Wu, Y. Chen, M. Y. Wu, C. R. Guan, and X. Y. Yu, “3D Measurement Technology by Structured Light Using Stripe-Edge-Based Gray Code,” J. Phys.: Conf. Ser. 48, 537–541 (2006).
[Crossref]

Opt. Laser Technol. (1)

J. Xu, N. Xi, C. Zhang, Q. A. Shi, and J. Gregory, “Real-time 3D shape inspection system of automotive parts based on structured light pattern,” Opt. Laser Technol. 43(1), 1–8 (2011).
[Crossref]

Opt. Lasers Eng. (5)

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).
[Crossref]

M. Y. Kim, S. M. Ayaz, J. Park, and Y. J. Roh, “Adaptive 3D sensing system based on variable magnification using stereo vision and structured light,” Opt. Lasers Eng. 55, 113–127 (2014).
[Crossref]

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).
[Crossref]

Z. Wang, “Robust three-dimensional face reconstruction by one-shot structured light line pattern,” Opt. Lasers Eng. 124, 105798 (2020).
[Crossref]

R. Juarez-Salazar and V. H. Diaz-Ramirez, “Flexible camera-projector calibration using superposed color checkerboards,” Opt. Lasers Eng. 120, 59–65 (2019).
[Crossref]

Opto-Electron. Rev. (1)

J. C. Huo, Q. Y. Wu, X. J. Zeng, and L. Deng, “Partial coding structured light technique for three-dimensional shape measurement,” Opto-Electron. Rev. 39(5), 57–62 (2012). (in Chinese).

PLoS One (1)

R. Ji, Q. Sun, Y. Hou, Q. Tan, and G. Li, “A Flexible Calibration Method Using the Planar Target with a Square Pattern for Line Structured Light Vision System,” PLoS One 9(9), e106911 (2014).
[Crossref]

Videometrics and Optical Methods for 3D Shape Measurement (1)

J. Gühring, “Dense 3-D surface acquisition by structured light using off-the-shelf components,” Videometrics and Optical Methods for 3D Shape Measurement 4309, 220–231 (2000).
[Crossref]

Other (3)

W. Zhu, J. Li, L. Tian, Q. Xin, and Y. Yang, “High-Speed Large Dimensional Measurement Based on Line Structured Light and Camera Scanning,” in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 232–236(2014).

H. Dong, A. Chimienti, and G. Menga, “Accuracy improvement in structured light system calibration using plane based residual error compensation,” in 2013 forth European Workshop on Visual Information Processing, 154–162 (2013).

O. Hall-Holt and S. Rusinkiewicz, “Stripe boundary codes for real-time structured-light range scanningof moving objects,” Proc. 8th IEEE Int. Conf. on Computer Vision2, 359–366 (2001).

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Figures (13)

Fig. 1.
Fig. 1. Schematic diagram of camera perspective model.
Fig. 2.
Fig. 2. Horizontal ray-tracing model based on CCS.
Fig. 3.
Fig. 3. Calibration in MSLPS.
Fig. 4.
Fig. 4. Geometric model analysis in MSLPS.
Fig. 5.
Fig. 5. Calibration of MSLPS.
Fig. 6.
Fig. 6. The flow chart of calibration.
Fig. 7.
Fig. 7. Calibration images captured by camera: (a) Checkerboard with six-step shifting line pattern; (b) Checkerboard with blue blank pattern.
Fig. 8.
Fig. 8. Coding strategy (a) Line pattern of width 1 pixels is shifted 6 times to encode each subregion and gray code pattern is used to encode all the subregion. Line center will be detected. (b) Decoding gray code [18] to number all the subregion. Gray code has been widely used in fringe project measurement system.
Fig. 9.
Fig. 9. Analysis of polynomial fitting at (v = 103, I = 45): RMS error of 5th order polynomial fitting in Z coordinate is 0.0095 mm.
Fig. 10.
Fig. 10. Reconstruction analysis of LPM Method and the proposed calibration method on three position respectively: (a)-(b) is on the 2rd position; (c)-(d) is on the 42rd position; (e)-(f) is on the 82rd position. (a), (c) and (e) planes are reconstructed in LPM Method. (b), (d) and (f) planes are reconstructed in propose method.
Fig. 11.
Fig. 11. The reconstruction result of Voltaire: (a) The original image; (b) The image with line pattern; (c) The original point cloud data; (d) The gridded point cloud data: discrete point cloud data are filtered out.
Fig. 12.
Fig. 12. The reconstruction result of ceramic plate: (a) The original image; (b) The image with line pattern; (c) The original point cloud data.
Fig. 13.
Fig. 13. The reconstruction result of two superimposed standard blocks without coating: (a) The standard blocks; (b) The original image of the standard blocks; (c) The gridded point cloud data of the standard blocks in one view: (d) The original point cloud data of the standard blocks in other view.

Tables (2)

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Table 1. Reconstruction of the calibration plane

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Table 2. Experiment results of the standard blocks

Equations (4)

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[ u v 1 ] = [ f u λ u 0 0 f v v 0 0 0 1 ] K [ x c y c 1 ] ,
[ x c y c ] = 1 + k 1 r 2 + k 2 r 4 G [ x d y d ] + 1 G [ 2 k 3 x d y d + k 4 ( r 2 + 2 x d 2 ) 2 k 4 x d y d + k 3 ( r 2 + 2 y d 2 ) ] ,
tan [ γ arctan ( u u s ξ h 2 ) ] = Z c Z 0 ε h 1 ,
Z c ( v , I ) = n = 0 N s n ( v , I ) u n ,

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