Skip to main content

As-Built Reconstruction Using Images and Industrial Drawings

  • Conference paper
Mustererkennung 2000

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

Despite the advanced 3D technology, majority of large industrial sites do not have access to a SD model of their facilities. These industries often use printed 2D drawings for almost all engineering designs and Updates. Here we introduce a new framework to combine different types of images available for an industrial site to recover the 3D structure. In particular, we consider two types of images: industrial drawings and photogrammetric images.

We aim at using these two types of images to infer 3D information about the scene using geometric features such as points, straight lines, cylinders, etc. Here we present a Solution to this problem when the available images are an industrial drawing of the scene from the top view and a set of perspective images from arbitrary viewing positions. The perspective images need not all be calibrated. This work not only results in an as-built reconstruction algorithm for large industrial sites, it also suggests a new framework where industrial drawings are fully integrated with images and three dimensional models.

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 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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. M. Appel, Y. Gene, and N. Navab. Getting into the workflow of traditional industries: As-built reconstruction using images and industrial drawings. Tech. Rep. SCR-00-TR-679, SCR, 2000.

    Google Scholar 

  2. R. Azuma. A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6:4, pp.355–385, 1997.

    Google Scholar 

  3. C. Baillard, C. Schmid, A. Zisserman, and A. Fitzgibbon. Automatic line matching and 3D reconstruction of buildings from multiple views. In ISPRS 1999, V.32, P.3-2W5, pp.69-80, 1999.

    Google Scholar 

  4. D.E. Breen, E. Rose, and R.T. Whitaker. Interactive occlusion and collision of real and Virtual objects in augmented reality. Tech. Rep. ECRC-95-02, ECRC, 1995.

    Google Scholar 

  5. D. Drascic. Stereoscopic vision and augmented reality. Scientific Computing and Automation, 9(7)31–34, 1993.

    Google Scholar 

  6. O.D. Faugeras, S. Laveau, L. Robert, G. Csurka, and C. Zeller. 3-d reconstruction of urban scenes from sequences of images. Tech. Rep. RR-2572, INRIA, 1995.

    Google Scholar 

  7. S. Feiner, B. Mclntyre, and D. Seligmann. Knowledge-based augmented reality. Comm. of the ACM, 36(7):53–62, 1993.

    Article  Google Scholar 

  8. R. Koch, M. Pollefeys, and L. VanGool. Realistic 3-d scene modeling from uncalibrated image sequences. In ICIP99, 1999.

    Google Scholar 

  9. N. Navab, B. Bascle, M. Appel, and E. Cubillo. Scene augmentation via the fusion of industrial drawings and uncalibrated images with a view to marker-less calibration. In IWAR’99, San Francisco, CA, 1999.

    Google Scholar 

  10. N. Navab, N. Craft, S. Bauer, and A. Bani-Hashemi. CyliCon: A Software package for 3D reconstruction of industrial pipelines. In WACV 1998, 1998.

    Google Scholar 

  11. N. Navab, Y. Gene, and M. Appel. Lines in one orthographic and two perspective views. In CVPR 2000, Hilton Head Island, SC, 2000.

    Google Scholar 

  12. A. Shashua. Algebraic funetions for recognition. PAMI, 17(8)779–789, 1995.

    Article  Google Scholar 

  13. M.E. Spetsakis and Y. Aloimonos. Structure from motion using line correspondences. IJCV, 4(3):171–183, 1990.

    Article  Google Scholar 

  14. P.H.S. Torr, A.W. Fitzgibbon, and A. Zisserman. Maintaining multiple motion model hypotheses over many views to recover matching and structure. In ICCV 1998, pp.485-491, 1998.

    Google Scholar 

  15. M. Tuceryan, D.S. Greer, R.T. Whitaker, D.E. Breen, C. Crampton, E. Rose, and K.H. Ahlers. Calibration requirements and procedures for a monitor-based augmented reality system. IEEE Trans. on Visualization and Computer Graphics, 1(3):255–273, 1995.

    Article  Google Scholar 

  16. J. Weng, T.S. Huang, and N. Ahuja. Motion and structure from line correspondences: Closed-form Solution, uniqueness, and optimization. PAMI, 14(3):318–336, 1992.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Navab, N., Appel, M., Genc, Y., Bascle, B., Kumar, V., Neuberger, M. (2000). As-Built Reconstruction Using Images and Industrial Drawings. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-59802-9_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67886-1

  • Online ISBN: 978-3-642-59802-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics