Skip to main content

Reconstruction of Sewer Shaft Profiles from Fisheye-Lens Camera Images

  • Conference paper
Book cover Pattern Recognition (DAGM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5748))

Included in the following conference series:

Abstract

In this paper we propose a robust image and sensor based approach for automatic 3d model acquisition of sewer shafts from survey videos captured by a downward-looking fisheye-lens camera while lowering it into the shaft. Our approach is based on Structure from Motion adjusted to the constrained motion and scene, and involves shape recognition in order to obtain the geometry of the scene appropriately. The approach has been implemented and applied successfully to the practical stage as part of a commercial software.

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. Cooper, D., Pridmore, T.P., Taylor, N.: Towards the Recovery of Extrinsic Camera Parameters from Video Records of Sewer Surveys. Machine Vision and Applications 11, 53–63 (1998)

    Article  Google Scholar 

  2. Kannala, J.: Measuring the Shape of Sewer Pipes from Video. Master thesis, Helsinki University of Technology, Helsinki (2004)

    Google Scholar 

  3. Kannala, J., Brandt, S.S., Heikkilä, J.: Measuring and Modelling Sewer Pipes from Video. Machine Vision and Applications 19(2), 73–83 (2008)

    Article  Google Scholar 

  4. Zhang, Z.: Flexible Camera Calibration by Viewing a Plane from Unknown Orientations. In: Proc. ICCV, pp. 666–673 (1999)

    Google Scholar 

  5. Scaramuzza, D., Martinelli, A., Siegwart, R.: A Flexible Technique for Accurate Omnidirection Camera Calibration and Structure from Motion. In: Proc. ICVS, p. 45 (2006)

    Google Scholar 

  6. Chang, P., Hebert, M.: Omni-Directional Structure from Motion. In: Proc. IEEE Workshop on Omnidirectional Vision, p. 127 (2000)

    Google Scholar 

  7. Bartczak, B., Köser, K., Woelk, F., Koch, R.: Extraction of 3D Freeform Surfaces as Visual Landmarks for Real-Time Tracking. Journal of Real-Time Image Processing 2(2–3), 81–101 (2007)

    Article  Google Scholar 

  8. Tomasi, C., Kanade, T.: Detection and Tracking of Point Features. Carnegie Mellon University Technical Report CMU-CS-91-132, 04/1991

    Google Scholar 

  9. Pratt, V.: Direct Least Squares Fitting of Algebraic Surfaces. Computer Graphics 21(4), 145–152 (1987)

    Article  MathSciNet  Google Scholar 

  10. Fitzgibbon, A., Pilu, M., Fisher, R.: Direct Least Squares Fitting of Ellipses. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(5), 476–480 (1999)

    Article  Google Scholar 

  11. Chauduri, D., Samal, A.: A Simple Method for Fitting of Boundary Rectangles to Closed Regions. Pattern Recognition 40(7), 1981–1989 (2007)

    Article  MATH  Google Scholar 

  12. Dierckx, P.: Curve and Surface Fitting with Splines. Oxford University Press, Oxford (1993)

    MATH  Google Scholar 

  13. Burger, B., Fiedler, M., Gellrich, J., Reuter, H.-P.: Schachtinspektion in neuer Qualität. Bauwirtschaftliche Information UmweltBau Nr. 1, 02/2009

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Esquivel, S., Koch, R., Rehse, H. (2009). Reconstruction of Sewer Shaft Profiles from Fisheye-Lens Camera Images. In: Denzler, J., Notni, G., Süße, H. (eds) Pattern Recognition. DAGM 2009. Lecture Notes in Computer Science, vol 5748. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03798-6_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03798-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03797-9

  • Online ISBN: 978-3-642-03798-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics