Skip to main content
Springer Nature Link
Log in

Jittering Reduction in Marker-Based Augmented Reality Systems

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3980))

Included in the following conference series:

  • 1321 Accesses

Abstract

Augmented Reality systems have recently become widely used. This is due to the new open source libraries that have emerged for fast application development. In this paper we address one of the most relevant problems in this type of systems, oscillation in the camera pose estimates. We study the oscillation of a system developed using the ARToolkit library. We apply both average and Kalman filters to stabilize the estimates. Using filter substantially reduces oscillation, thus improving the system’s usability.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Azuma, R.T.: A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments 6(4), 355–385 (1997)

    Google Scholar 

  2. Auer, T.: Hybrid Tracking for Augmented Reality. Graz University of Technology (2000)

    Google Scholar 

  3. Comport, A., Marchand, E., Chaumette, F.: Robust and real-time image-based tracking for markerless augmented reality. Technical report, 4847, INRIA (2003)

    Google Scholar 

  4. Bajura, M., Ulrich, N.: Dynamic Registration Correction in Video-Based Augmented Reality Systems. IEEE Computer Graphics and Applications 15(5), 52–60 (1995)

    Article  Google Scholar 

  5. Behringer, R.: Improving Registration Precision through Visual Horizon Silhouette Matching. In: IEEE International Workshop on Augmented Reality, pp. 225–232 (1998)

    Google Scholar 

  6. López de Ipiña, D., Mendonça, P.R.S., Hopper, A.: TRIP: a Low-Cost Vision-Based Location System for Ubiquitous Computing. Personal and Ubiquitous Computing 6(3), 206–219 (2002)

    Article  Google Scholar 

  7. Cho, Y., Lee, J., Neumann, U.: Multi-ring Color Fiducial Systems and An Intensity-Invariant Detection Method for Scalable Fiducial Tracking Augmented Reality. In: IEEE International Workshop on Augmented Reality (1998)

    Google Scholar 

  8. Rekimoto, J., Ayatsuka, Y.: CyberCode: Designing Augmented Reality Environments with Visual Tags. In: Proceedings of DARE 2000 on Designing augmented reality environments, pp. 1–10 (2000)

    Google Scholar 

  9. Kato, H., Billinghurst, M., Poupyrev, I.: ARToolkit Version 2.33 Manual (2000)

    Google Scholar 

  10. Billinghurst, M., Kato, H., Poupyrev, I.: The Magic-Book. Moving Seamlessly between Reality and Virtuality. IEEE Computer Graphics and Applications 21(3), 2–4 (2001)

    Google Scholar 

  11. Prince, S., Cheok, A.D., Farbiz, F., Williamson, T., Johnson, N., Billinghurst, M., Kato, H.: 3D Live: Real Time Captured Content for Mixed Reality. In: International Symposium on Mixed and Augmented Reality, pp. 7–13 (2002)

    Google Scholar 

  12. Escrivá, M., Martí, M., Sánchez, J.M., Camahort, E., Lluch, J., Vivó, R.: Virtainer: Graphical Simulation of Container Storage Yard with Dynamic Portal Rendering. In: Proceedings of the Ninth International Conference on Information Visualisation, pp. 773–778 (2005)

    Google Scholar 

  13. Rubio, M., Quirós, R., Pulido, E.: Annotation of Features in Outdoor Augmented Reality Enviroments. In: 7th Conference on Geographic Information Science, pp. 243–250 (2004)

    Google Scholar 

  14. Rubio, M., Quirós, R., Pulido, E., Huerta, J., Camahort, E.: Wide Area Marker Based Tracking. In: Intl. Conf. on Visualization, Imaging & Image Processing, pp. 655–659 (2005)

    Google Scholar 

  15. Shoemake, K.: Euler angle conversion. In: Graphics gems IV, pp. 222–229. Academic Press, London (1994)

    Google Scholar 

  16. Welch, G., Bishop, G.: An Introduction to the Kalman Filter. In: SIGGRAPH 2001 Course 8. ACM Press, New York (2001)

    Google Scholar 

  17. Open Source Computer Vision Library Reference Manual. © Intel (1999-2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universidad de Oriente, Patricio Lumumba S/N, 90500, Santiago de Cuba, Cuba

    Monica Rubio, Arturo Quintana & Hebert Pérez-Rosés

  2. Universitat Jaume I, Av. Sos Baynat S/N, 12071, Castellón, Spain

    Ricardo Quirós

  3. Universidad Politécnica de Valencia, Camino de Vera S/N, 46022, Valencia, Spain

    Emilio Camahort

Authors
  1. Monica Rubio
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arturo Quintana
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hebert Pérez-Rosés
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ricardo Quirós
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Emilio Camahort
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rubio, M., Quintana, A., Pérez-Rosés, H., Quirós, R., Camahort, E. (2006). Jittering Reduction in Marker-Based Augmented Reality Systems. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_54

Download citation

  • DOI: https://doi.org/10.1007/11751540_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34070-6

  • Online ISBN: 978-3-540-34071-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics