Skip to main content

Homography-Based Industrial Image Stitching

  • Conference paper
  • First Online:
European Robotics Forum 2024 (ERF 2024)

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 32))

Included in the following conference series:

  • 64 Accesses

Abstract

Global robotic vision on large-scale workspaces frequently requires the composition of data from different or moving sensors. We propose a method for constructing accurate panoramic images of a robotic workspace from standard 2D images by estimating the trajectory of a moving camera. Utilizing the camera’s trajectory directly yields the positional homographies into the panoramic image, without the need to extract features and works even in the presence of zero overlap. Finally, we evaluate the overall performance of the panoramic vision approach in combination with a robotic setup on a flat work plane.

This work was accomplished within the Lighthouse project supported by the Austrian Institute of Technology (AIT).

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bradski, G.: The OpenCV Library. Dr. Dobb’s J. Softw. Tools (2000)

    Google Scholar 

  2. Pedregosa, F., et al.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825–2830 (2011)

    MathSciNet  MATH  Google Scholar 

  3. Rencher, A.C., Christensen, W.F.: Methods of Multivariate Analysis. Wiley Series in Probability and Statistics (2012)

    Google Scholar 

  4. Szeliski, R.: Computer Vision: Algorithms and Applications. Springer (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Johann J. Mitteramskogler .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mitteramskogler, J.J., Widmoser, F., Ikeda, M., Pichler, A. (2024). Homography-Based Industrial Image Stitching. In: Secchi, C., Marconi, L. (eds) European Robotics Forum 2024. ERF 2024. Springer Proceedings in Advanced Robotics, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-031-76424-0_4

Download citation

Publish with us

Policies and ethics