Skip to main content

Lateral and Depth Calibration of PMD-Distance Sensors

  • Conference paper
Advances in Visual Computing (ISVC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4292))

Included in the following conference series:

Abstract

A growing number of modern applications such as position determination, object recognition and collision prevention depend on accurate scene analysis. The estimation of an object’s distance relative to an observers position by image analysis or laser scan techniques is thereby still the most time-consuming and expensive part.

A lower-priced and much faster alternative is the distance measurement with modulated, coherent infrared light based on the (PMD) technique. As this approach is a rather new and unexplored method, proper calibration techniques have not been widely investigated yet. This paper describes an accurate distance calibration approach for PMD-based distance sensoring.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. 3DV Systems (2006), http://www.3dvsystems.com

  2. Xu, Z., Schwarte, R., Heinol, H., Buxbaum, B., Ringbeck, T.: Smart pixel – photonic mixer device (PMD). In: Proc. Int. Conf. on Mechatron. & Machine Vision, pp. 259–264 (1998)

    Google Scholar 

  3. Lange, R.: 3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology. PhD thesis, University of Siegen (2000)

    Google Scholar 

  4. Kraft, H., Frey, J., Moeller, T., Albrecht, M., Grothof, M., Schink, B., Hess, H., Buxbaum, B.: 3D-camera of high 3D-frame rate, depth-resolution and background light elimination based on improved PMD (photonic mixer device)-technologies. In: OPTO (2004)

    Google Scholar 

  5. Prasad, T., Hartmann, K., Weihs, W., Ghobadi, S., Sluiter, A.: First steps in enhancing 3D vision technique using 2D/3D sensors. In: Chum, O., Franc, V. (eds.) 11th Computer Vision Winter Workshop 2006, pp. 82–86 (2006)

    Google Scholar 

  6. Tsai, R.Y.: An efficient and accurate camera calibration technique for 3d-machine vision. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 364–374 (1986)

    Google Scholar 

  7. Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 133–134 (2000)

    Google Scholar 

  8. Bouguet, J.Y.: Visual methods for three-dimensional modeling. PhD thesis (1999)

    Google Scholar 

  9. Kuhnert, K.D., Stommel, M.: Fusion of stereo-camera and pmd-camera data for real-time suited precise 3D environment reconstruction. In: Proc. Int. Conf. on Intelligent Robots and Systems (submitted for publication, 2006)

    Google Scholar 

  10. Ma, Y., Stoatto, S., Kosecka, J., Sastry, S.: An invitation to 3D vision. Springer, Heidelberg (2004)

    Google Scholar 

  11. Faugeras, O.: Three-dimensional Computer Vision. The MIT Press, Cambridge (1993)

    Google Scholar 

  12. Forsyth, P.: Computer Vision - A Modern Approach. Alan Apt. (2003)

    Google Scholar 

  13. Brown, D.: Decentering distortion of lenses 32 (1966)

    Google Scholar 

  14. OpenCV (2006), http://www.intel.com/technology/computing/opencv/index.htm

  15. Luan, X.: Experimental Investigation of Photonic Mixer Device and Development of TOF 3D Ranging Systems Based on PMD Technology. PhD thesis, Department of Electrical Engineering and Computer Science (2001)

    Google Scholar 

  16. Schwarte, R., Zhang, Z., Buxbaum, B.: Neue 3D-Bildsensoren für das Technische 3D-Sehen. VDE Kongress “Ambient Intelligence” (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lindner, M., Kolb, A. (2006). Lateral and Depth Calibration of PMD-Distance Sensors. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_53

Download citation

  • DOI: https://doi.org/10.1007/11919629_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48626-8

  • Online ISBN: 978-3-540-48627-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics