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A Rapidly Adaptive Collaborative Ubiquitous Computing Environment to Allow Passive Detection of Marked Objects

  • Hannah Slay
  • Bruce Thomas
  • Rudi Vernik
  • Wayne Piekarski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3101)

Abstract

This paper presents a tool to support the rapid and adaptive deployment of a collaborative, ubiquitous computing environment. A key tool for the configuration and deployment of this environment is a calibration tool to quickly and efficiently calculate the positions of cameras in a dynamic environment. This tool has been incorporated into our current Passive Detection Framework. The paper describes the context where our rapidly adaptive collaborative ubiquitous computing environment would be deployed. The results of a study to test the accuracy of the calibration tool are also presented. This study found that the calibration tool can calculate the position of cameras to within 25 mm for all lighting conditions examined.

Keywords

Augmented Reality Ubiquitous Computing Fiducial Marker Marked Object Ubiquitous Computing Environment 
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 2004

Authors and Affiliations

  • Hannah Slay
    • 1
  • Bruce Thomas
    • 1
  • Rudi Vernik
    • 1
    • 2
  • Wayne Piekarski
    • 1
  1. 1.e-World Lab, School of Computer and Information ScienceUniversity of South AustraliaMawson LakesAustralia
  2. 2.Defence Science Technology OrganisationEdinburghAustralia

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