Dual Sensor Filtering for Robust Tracking of Head-Mounted Displays (article)

Dual Sensor Filtering for Robust Tracking of Head-Mounted Displays-preview

This week, at VRST2014, FIcontent partners have presented a paper entitled “Dual Sensor Filtering for Robust Tracking of Head-Mounted Displays”, which presents 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.

Technically speaking, the 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.

The Dual Sensor Filtering for Robust Tracking of Head-Mounted Displays PDF paper is available.

The ACM Symposium on Virtual Reality Software and Technology (VRST) is an international forum for the exchange of experience and knowledge among researchers and developers concerned with virtual reality software and technology. VRST will provide an opportunity for VR researchers to interact, share new results, show live demonstrations of their work, and discuss emerging directions for the field. The event is sponsored by ACM SIGCHI and SIGGRAPH.

VRST 2014 will be held in Edinburgh, UK, in the beautiful capital city of Scotland. The conference will be hosted by the University of Edinburgh in the Informatics Forum. VRST 2014 aims at bringing together VR researchers from around the world to present the state-of-the-art advances in this ever-growing dynamic area. Both IEEE Trans. on Visualization and Computer Graphics and IEEE Computer Graphics & Applications will publish the best full papers and best short papers, respectively, from the conference.