Skip to main content

Improvement of Measurement Accuracy of Optical 3D Scanners by Discrete Systematic Error Estimation

  • Conference paper
  • First Online:
Combinatorial Image Analysis (IWCIA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11255))

Included in the following conference series:

Abstract

A new methodology is introduced which enables the improvement of measurement accuracy of optical 3D scanners. This improvement is based on geometric compensation of the systematic measurement error over the measurement volume. Possible sources for systematic measurement errors are introduced and discussed. Estimation of the systematic error is performed by determination of length measurement error of a ballbar in different positions in the measurement volume. Description of the systematic error may be done using polynomials or sampling points in an equidistant volumetric grid. Simulations as well as experimental measurements using real data were performed in order to evaluate the new methodology. The results show that a reduction of the systematic error to about half of the original error is possible. The method is discussed, and potential improvements are given as prospective future work.

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 EPUB and 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

References

  1. Brinkmann, B.: Internationales Wörterbuch der Metrologie: Grundlegende und allgemeine Begriffe und zugeordnete Benennungen (VIM) Deutsch-englische Fassung ISO/IEC-Leitfaden 99. Beuth, Berlin (2012)

    Google Scholar 

  2. Bräuer-Burchardt, C., Kühmstedt, P., Notni, G.: Error compensation by sensor re-calibration in fringe projection based optical 3D stereo scanners. In: Maino, G., Foresti, G.L. (eds.) ICIAP 2011. LNCS, vol. 6979, pp. 363–373. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24088-1_38

    Chapter  Google Scholar 

  3. Bräuer-Burchardt, C., Ölsner, S., Kühmstedt, P., Notni, G.: Comparison of calibration strategies for optical 3D scanners based on structured light projection using a new evaluation methodology. In: Videometrics, Range Imaging, and Applications XIV. Proceedings of SPIE, vol. 10332, pp. 103320F1–103320F10 (2017)

    Google Scholar 

  4. Griva, I., Nash, S.G., Sofer, A.: Linear and Nonlinear Optimization, 2nd edn. George Mason University, Fairfax (2009)

    Book  Google Scholar 

  5. Gu, S., McNamara, J.E., Johnson, K., Gennert, M.A., King, M.A.: Calibration accuracy evaluation with stereo reconstruction. In: IEEE Nuclear Science Symposium Conference Record, San Diego, CA, pp. 3242–3246 (2006)

    Google Scholar 

  6. Hasetedt, H., Luhmann, T.: Analyse der Kamerakalibrierung mit OpenCV. In: Luhmann, T., Müller, C. (eds.) Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Proceedings of Oldenburger 3D-Tage 2015, pp. 259–268 (2015)

    Google Scholar 

  7. He, Y., Liang, B., Zou, Y., He, J., Yang, J.: Depth errors analysis and correction for time-of-flight (ToF) cameras. Sensors 17(92), 1–18 (2017)

    Google Scholar 

  8. Isheil, A., Gonnet, J.-P., Joannic, D., Fontaine, J.-F.: Systematic error correction of a 3D laser scanning measurement device. Opt. Lasers Eng. 49, 16–24 (2011)

    Article  Google Scholar 

  9. JCGM 200: International vocabulary of metrology—basic and general concepts and associated terms (VIM), 3rd edn. (2012). https://www.bipm.org/utils/common/documents/jcgm/JCGM_200_2012.pdf. Accessed 02 Aug 2018

  10. Kahlmann, T., Ingensand, H.: Calibration and development for increased accuracy of 3D range imaging cameras. J. Appl. Geod. 2(2008), 1–11 (2008)

    Google Scholar 

  11. Luhmann, T., Fraser, C., Maas, H.-G.: Sensor modelling and camera calibration for close-range photogrammetry. ISPRS J. Photogramm. Remote. Sens. 115, 37–46 (2016)

    Article  Google Scholar 

  12. Muralikrishnan, B., et al.: Volumetric performance evaluation of a laser scanner based on geometric error model. Precis. Eng. 40, 139–150 (2015)

    Article  Google Scholar 

  13. Remondino, F., Fraser, C.: Digital camera calibration methods: considerations and comparisons. Int. Arch. Photogramm., Remote. Sens., Spat. Inf. Sci. XXXVI(5), 266–272 (2006)

    Google Scholar 

  14. Rieke-Zapp, D., Tecklenburg, W., Peipe, J., Hastedt, H., Haig, C.: Evaluation of the geometric stability and the accuracy potential of digital cameras – comparing mechanical stabilisation versus parameterization. ISPRS J. 64(3), 248–258 (2009)

    Article  Google Scholar 

  15. VDI/VDE 2634: Optical 3D-measuring systems. VDI/VDE guidelines, Part 2. Beuth, Berlin (2008). https://m.vdi.de/uploads/tx_vdirili/pdf/1456386.pdf. Accessed 02 Aug 2018

  16. Wang, B., Pan, B., Tao, R., Lubineau, G.: Systematic errors in digital volume correlation due to the self-heating effect of a laboratory x-ray CT scanner. Meas. Sci. Technol. 28, 055402 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christian Bräuer-Burchardt .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bräuer-Burchardt, C., Kühmstedt, P., Notni, G. (2018). Improvement of Measurement Accuracy of Optical 3D Scanners by Discrete Systematic Error Estimation. In: Barneva, R., Brimkov, V., Tavares, J. (eds) Combinatorial Image Analysis. IWCIA 2018. Lecture Notes in Computer Science(), vol 11255. Springer, Cham. https://doi.org/10.1007/978-3-030-05288-1_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05288-1_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05287-4

  • Online ISBN: 978-3-030-05288-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics