Skip to main content
SpringerLink
Log in

Calibration of Shared Flat Refractive Stereo Systems

  • Conference paper
  • First Online:
Image Analysis and Recognition (ICIAR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9730))

Included in the following conference series:

Abstract

The calibration of underwater camera systems differs significantly from calibration in air due to the refraction of light. In this paper, we present a calibration approach for a shared flat refractive stereo system that is based on virtual object points. We propose a sampling strategy in combination with an efficiently solvable set of equations for the calibration of the refractive parameters. Due to the independence of calibration targets of known dimensions, the approach can be realized by using stereo correspondences alone.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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. Agrawal, A., Ramalingam, S., Taguchi, Y., Chari, V.: A theory of multi-layer flat refractive geometry. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3346–3353 (2012)

    Google Scholar 

  2. Bräuer-Burchardt, C., Kühmstedt, P., Notni, G.: Combination of air- and water-calibration for a fringe projection based underwater 3D-scanner. In: Effenberg, A.O., Azzopardi, G., Petkov, N. (eds.) CAIP 2015. LNCS, vol. 9257, pp. 49–60. Springer, Heidelberg (2015). doi:10.1007/978-3-319-23117-4_5

    Chapter  Google Scholar 

  3. Chen, X., Yang, Y.-H.: Two-view camera housing parameters calibration for multi-layer flat refractive interface. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 524–531 (2014)

    Google Scholar 

  4. Gedge, J., Gong, M., Yang, Y.-H.: Refractive epipolar geometry for underwater stereo matching. In: 2011 Canadian Conference on Computer and Robot Vision (CRV), pp. 146–152. IEEE (2011)

    Google Scholar 

  5. Kang, L., Wu, L., Wei, Y., Yang, Z.: Theory of multi-level refractive geometry. Electron. Lett. 51(9), 688–690 (2015)

    Article  Google Scholar 

  6. Lowe, D.G.: Object recognition from local scale-invariant features. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 2, pp. 1150–1157 (1999)

    Google Scholar 

  7. Sedlazeck, A., Koch, R.: Calibration of housing parameters for underwater stereo-camera rigs. In: Proceedings of the British Machine Vision Conference, pp. 118.1–118.11. BMVA Press (2011)

    Google Scholar 

  8. Shortis, M.: Calibration techniques for accurate measurements by underwater camera systems. Sensors 15(12), 30810–30826 (2015)

    Article  Google Scholar 

  9. Treibitz, T., Schechner, Y.Y., Kunz, C., Singh, H.: Flat refractive geometry. IEEE Trans. Pattern Anal. Mach. Intell. 34(1), 51–65 (2012)

    Article  Google Scholar 

  10. Yamashita, A., Higuchi, H., Kaneko, T., Kawata, Y.: Three dimensional measurement of object’s surface in water using the light stripe projection method. In: Proceedings of 2004 IEEE International Conference on Robotics and Automation, ICRA 2004, vol. 3, pp. 2736–2741. IEEE (2004)

    Google Scholar 

Download references

Acknowledgments

This research has been supported by the German Federal State of Mecklenburg-Western Pomerania and the European Social Fund under grant ESF/IV-BM-B35-0006/12.

Author information

Authors and Affiliations

  1. Fraunhofer Institute for Computer Graphics Research IGD, Joachim-Jungius-Str. 11, 18059, Rostock, Germany

    Tim Dolereit & Uwe Freiherr von Lukas

  2. Institute for Computer Science, University of Rostock, Albert-Einstein-Str. 22, 18059, Rostock, Germany

    Tim Dolereit

Authors
  1. Tim Dolereit
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Uwe Freiherr von Lukas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tim Dolereit .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical, University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Dolereit, T., von Lukas, U.F. (2016). Calibration of Shared Flat Refractive Stereo Systems. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-41501-7_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41500-0

  • Online ISBN: 978-3-319-41501-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation