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.
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.
|Item Type ||Conference or Workshop Items (UNSPECIFIED)|
|Creators||Swafford, N. T., Boom, B. J., Subr, K., Sinclair, D., Cosker, D. and Mitchell, K.|
|Uncontrolled Keywords||fast feature tracking,head-mounted display,software|
|Departments||Faculty of Science > Computer Science|
|Research Centres||Media Technology Research Centre|
|Publisher Statement||rt43.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|
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