Research

Dual sensor filtering for robust tracking of head-mounted displays


Reference:

Swafford, N. T., Boom, B. J., Subr, K., Sinclair, D., Cosker, D. and Mitchell, K., 2014. Dual sensor filtering for robust tracking of head-mounted displays. In: 20th ACM Symposium on Virtual Reality Software and Technology, VRST 2014, 2014-11-11 - 2014-11-13. New York, U. S. A.: Association for Computing Machinery (ACM), pp. 221-222.

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    Official URL:

    http://dx.doi.org/10.1145/2671015.2675694

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    Abstract

    We present a low-cost solution for yaw drift in head-mounted display systems that performs better than current commercial solutions and provides a wide capture area for pose tracking. Our method applies an extended Kalman filter to combine marker tracking data from an overhead camera with onboard head-mounted display accelerometer readings. To achieve low latency, we accelerate marker tracking with color blob localisation and perform this computation on the camera server, which only transmits essential pose data over WiFi for an unencumbered virtual reality system.

    Details

    Item Type Conference or Workshop Items (UNSPECIFIED)
    CreatorsSwafford, N. T., Boom, B. J., Subr, K., Sinclair, D., Cosker, D. and Mitchell, K.
    DOI10.1145/2671015.2675694
    Related URLs
    URLURL Type
    http://www.scopus.com/inward/record.url?scp=84911125812&partnerID=8YFLogxKUNSPECIFIED
    Uncontrolled Keywordsfast feature tracking,head-mounted display,software
    DepartmentsFaculty of Science > Computer Science
    Research CentresMedia Technology Research Centre
    EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    Publisher Statementrt43.pdf: © ACM,2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceeding VRST '14 Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology (2014) http://doi.acm.org/10.1145/2671015.2675694
    StatusPublished
    ID Code42545

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