Skip to main content

Pencil Mouse: Real-Time Estimation of 6-D Pose, Position, and Motion Parameters from a Monocular Views Using a Fast Line Search

  • Conference paper
Mustererkennung 2000

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

  • 277 Accesses

Abstract

The Pencil Mouse is a six degrees of freedom input device that uses only a monocular camera. A camera egomotion detection algorithm based on a checker-pattern planar surface and its implementation are described. We have developed a precise and fast method for line search depending on line candidate generation. This method enables the real-time features extraction and parameter estimation of the Pencil Mouse, where the estimated parameters were accurate. On a 266 MHz Pentium II system up to 28 frame per second are evaluated. Mesurements are given.

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. Logitech Magellan Space Control Mouse. Product Information. Logitech Inc. Fremont, CA. (http://www.logitech.com).

    Google Scholar 

  2. Logitech 3D/6D Mouse. Product Information, Logitech Inc. Fremont, CA. (http://www.logitech.com).

    Google Scholar 

  3. Microsoft IntelliMouse. Product Information. Microsoft Corp. Redmond, WA. (http://www.microsoft.com/products/hardware).

    Google Scholar 

  4. The Rockin’ Mouse: Integral 3D Manipulation on a Plane (http://reality.sgi.com/gordo_tor/papers/rockmouse/)

    Google Scholar 

  5. O. Faugeras. Three Dimensional Computer Vision, a Geometric Viewpoint. The MIT Press, 1996

    Google Scholar 

  6. J.G. Semple and G.T. Kneebone. Algebraic Projective Geometry. Oxford University Press, 1952

    Google Scholar 

  7. Zhengyou Zhang. A Flexible New Technique for Camera Calibration. Technical Report, Microsoft Corp. Redmond, WA., 1998.

    Google Scholar 

  8. R.Y. Tsai. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision. In Proc. IEEE CVPR., 1986.

    Google Scholar 

  9. O.D. Faugeras and F. Lustman. Motion and Structure from Motion in a Piecewise Planar Environment. International Journal of Pattern Recognition and Artificial Intelligence, pp. 485-507, 1988.

    Google Scholar 

  10. B. Triggs. Autocalibration from Planar Scenes. In Proceedings of the 5th European Conference on Computer Vision, pages 89-105, Freiburg, Germany, June 1998.

    Google Scholar 

  11. R. Hartley. In Defence of the 8-point Algorithm. In Proceedings of the 5th International Conference on Computer Vision, pages 1064-1070, Boston, MA, June 1995. IEE Computer Society Press.

    Google Scholar 

  12. Microsoft Easy Camera Calibration Tool, Microsoft Corp. Redmond, WA. (ftp://ftp.research.microsoft.com/users/easycalib/EasyCalib.zip)

    Google Scholar 

  13. Smith, S.M. and Brady, J.M., A New Approach to Low Level Image Processing, Int. Journal of Computer Vision, pp. 45–78, Vol. 23, May 1997.

    Article  Google Scholar 

  14. Shiu Yin K. Yuena.Connective Hough Transform. British Machine Vision Conference, pp. 127-133, 1991.

    Google Scholar 

  15. C.C. Slamae, editor. Manual of Photogrammetry, Fourth Edition. American Society of Photogrammetry and Remote Sensing, Falls Church, Virginia, USA, 1980.

    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

Shdaifat, I., Grigat, RR. (2000). Pencil Mouse: Real-Time Estimation of 6-D Pose, Position, and Motion Parameters from a Monocular Views Using a Fast Line Search. 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_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-59802-9_15

  • 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