JanusVF: Adaptive Fiducial Selection

  • Malcolm Hutson
  • Dirk Reiners
Conference paper

DOI: 10.1007/978-3-642-10331-5_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5875)
Cite this paper as:
Hutson M., Reiners D. (2009) JanusVF: Adaptive Fiducial Selection. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5875. Springer, Berlin, Heidelberg

Abstract

Critical limitations exist in the currently available commercial tracking technologies for fully-enclosed virtual reality (VR) systems. While several 6DOF solutions can be adapted for fully-enclosed spaces, they still include elements of hardware that can interfere with the users visual experience. JanusVF introduced a tracking solution for fully-enclosed VR displays that achieves comparable performance to available commercial solutions but without artifacts that obscure the users view. In this paper we extend JanusVF by exploring two new methods for selecting the fiducials to be displayed. The first method creates an additional offset grid of fiducials for each original resolution. The algorithm selects fiducials from the grid that yields more visible markers. The second method selects multiple resolutions of markers per wall by intersecting the cameras view frustum with the display surface. The resulting area is populated with fiducials by a quadtree subdivision. Comparison results show that the positional error has been reduced.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Malcolm Hutson
    • 1
  • Dirk Reiners
    • 1
  1. 1.University of Louisiana at Lafayette 

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