Skip to main content

Flexible Projector Calibration in the Structured Light 3D Measurement System

  • Conference paper
  • First Online:
Advances in Image and Graphics Technologies (IGTA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 525))

Included in the following conference series:

Abstract

In the structured light 3D shape measurement system, the projector plays an essential part for 3D shape reconstruction. As the projector calibration accuracy affects the 3D shape measurement accuracy, a flexible projector calibration approach in the structured light system is proposed. Key to the proposed method is to establish the relationship between the projector coordinate and the world coordinate using the pre-calibrated camera. The process of the system calibration can be divided into three steps. First, a black-and-white (B/W) checkerboard is pasted on the white board plane for camera calibration. Second, the pre-calibrated camera is used to obtain the 3D world coordinates of the checkerboard corners. Here, instead of using complicated process with spatial color illuminations or phase-unwrapping method for the pixel mapping, a projected B/W checkerboard is used for the projector calibration. Unlike some other methods, the non-wide-angle camera can be used to capture the images of both pasted and projected checkerboards. Also the calibration process is not vulnerable to the environment. Finally, the results of the camera and projector calibration are used to reconstruct 3D shape. Experiments show that the reprojection errors for both camera and projector are within ±1 pixel, and the RMS error of 3D reconstruction is 0.25 mm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Takeda, M., Mutoh, K.: Fourier transform profilometry for the automatic measurement 3-D object shapes. Applied Optics 22(24), 3977–3982 (1983)

    Article  Google Scholar 

  2. Gorthi, S.S., Rastogi, P.: Fringe Projection Techniques: whither we are? Optics and Lasers in Engineering 48(2), 133–140 (2010)

    Article  Google Scholar 

  3. Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)

    Article  Google Scholar 

  4. Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)

    Article  Google Scholar 

  5. Chen, H., Mi, B., Gao, Z.: Review of projector calibration in structured light 3D reconstruction system. Science Bulletin 59(12), 1069–1078 (2014)

    Google Scholar 

  6. Falcao, G., Hurtos, N., Massich, J.: Plane-based calibration of a projector-camera system. VIBOT Master 9(1), 1–12 (2008)

    Google Scholar 

  7. Liao, J., Cai, L.: A calibration method for uncoupling projector and camera of a structured light system. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, vol. 5(8), pp. 770−774 (2008)

    Google Scholar 

  8. Anwar, H., Din, I., Park, K.: Projector calibration for 3D scanning using virtual target images. International Journal of Precision Engineering and Manufacruting 13(1), 125–131 (2012)

    Article  Google Scholar 

  9. Draréni, J., Roy, S., Sturm, P.: Methods for geometrical video projector calibration. Machine Vision and Applications 23(1), 79–89 (2012)

    Article  Google Scholar 

  10. Huang, J., Wang, Z., Gao, J., et al.: Projector calibration with error surface compensation method in the structured light three-dimensional measurement system. Optical Engineering 52(4), 043602 (2013)

    Article  Google Scholar 

  11. Yin, Y., Peng, X., Li, A., Liu, X., et al.: Calibration of fringe projection profilometry with bundle adjustment strategy. Optics Letters 37(4), 542–544 (2012)

    Article  Google Scholar 

  12. Zhou, F., Zhang, G.: Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations. Image and Vision Computing 23(1), 59–67 (2005)

    Article  Google Scholar 

  13. Zhang, S., Huang, P.: Novel method for structured light system calibration. Optical Engineering 45(8), 083601 (2006)

    Article  Google Scholar 

  14. Merner, L., Wang, Y., Zhang, S.: Accurate calibration for 3D shape measurement system using a binary defocusing technique. Optics and Lasers in Engineering 51(5), 514–519 (2013)

    Article  Google Scholar 

  15. Li, B., Karpinsky, N., Zhang, S.: Novel calibration method for structured-light system with an out-of-focus projector. Applied Optics 53(16), 3415–3426 (2014)

    Article  Google Scholar 

  16. Zhang, Z., Ma, H., Guo, T., Zhang, S., et al.: Simple, flexible calibration of phase calculation-based three-dimensional imaging system. Optics Letters 36(7), 1257–1259 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yanjun Fu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, H., Li, B., Zhang, J., Yang, J., Fu, Y. (2015). Flexible Projector Calibration in the Structured Light 3D Measurement System. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-47791-5_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47790-8

  • Online ISBN: 978-3-662-47791-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics