Jittering Reduction in Marker-Based Augmented Reality Systems

  • Monica Rubio
  • Arturo Quintana
  • Hebert Pérez-Rosés
  • Ricardo Quirós
  • Emilio Camahort
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3980)


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.


Kalman Filter Tracking System Augmented Reality Local Coordinate System Virtual Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Monica Rubio
    • 1
  • Arturo Quintana
    • 1
  • Hebert Pérez-Rosés
    • 1
  • Ricardo Quirós
    • 2
  • Emilio Camahort
    • 3
  1. 1.Universidad de OrienteSantiago de CubaCuba
  2. 2.Universitat Jaume ICastellónSpain
  3. 3.Universidad Politécnica de ValenciaValenciaSpain

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