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.
Original language | English |
---|---|
Title of host publication | Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST 2014 |
Place of Publication | New York, U. S. A. |
Publisher | Association for Computing Machinery |
Pages | 221-222 |
Number of pages | 2 |
ISBN (Print) | 9781450332538 |
DOIs | |
Publication status | Published - 2014 |
Event | 20th ACM Symposium on Virtual Reality Software and Technology, VRST 2014 - Edinburgh, UK United Kingdom Duration: 11 Nov 2014 → 13 Nov 2014 |
Conference
Conference | 20th ACM Symposium on Virtual Reality Software and Technology, VRST 2014 |
---|---|
Country/Territory | UK United Kingdom |
City | Edinburgh |
Period | 11/11/14 → 13/11/14 |
Keywords
- Fast feature tracking
- Head-mounted display
ASJC Scopus subject areas
- Software