OSGAR: A Scene Graph with Uncertain Transformations

  • Authors:
  • Enylton Machado Coelho;Blair MacIntyre;Simon J. Julier

  • Affiliations:
  • Georgia Institute of Technology, Atlanta GA;Georgia Institute of Technology, Atlanta GA;Naval Research Laboratory, Washington DC

  • Venue:
  • ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
  • Year:
  • 2004

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Abstract

An important problem for augmented reality is registration error. No system can be perfectly tracked, calibrated or modeled. As a result, the overlaid graphics will not align perfectly with objects in the physical world. This can be distracting, annoying or confusing. In this paper we propose a method for mitigating the effects of registration errors that enables application developers to build dynamically adaptive AR displays. Our solution is implemented in a programming toolkit called OSGAR. Built upon OpenSceneGraph (OSG), OSGAR statistically characterizes registration errors, monitors those errors and, when a set of criteria are met, dynamically adapts the display to mitigate the effects of the errors. Because the architecture is based on a scene graph, it provides a simple, familiar and intuitive environment for application developers. We describe the components of OSGAR, discuss how several proposed methods for error registration can be implemented, and illustrate its use through a set of examples.