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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Utilizing sensor fusion in markerless mobile augmented reality
AU - Čopič Pucihar , Klen
AU - Coulton, Paul
AU - Hutchinson, Daniel
PY - 2011/8
Y1 - 2011/8
N2 - One of the key challenges of markerless Augmented Reality (AR) systems, where no a priori information of the environment is available, is map and scale initialization. In such systems, the scale is unknown as it is impossible to determine the scale from a sequence of images alone. Implementing scale is vital for ensuring that augmented objects are contextually sensitive to the environment they are projected upon. In this paper we demonstrate a sensor and vision fusion approach for robust and user-friendly initialization of map and scale. The map is initialized, using inbuilt accelerometers, whilst scale is initialized by the camera auto-focusing capability. The later is possible by applying the Depth From Focus (DFF) method, which was, till now, limited to high precision camera systems. The demonstrated illustrates benefits of such a system, which is running on a commercially available mobile phone Nokia N900.
AB - One of the key challenges of markerless Augmented Reality (AR) systems, where no a priori information of the environment is available, is map and scale initialization. In such systems, the scale is unknown as it is impossible to determine the scale from a sequence of images alone. Implementing scale is vital for ensuring that augmented objects are contextually sensitive to the environment they are projected upon. In this paper we demonstrate a sensor and vision fusion approach for robust and user-friendly initialization of map and scale. The map is initialized, using inbuilt accelerometers, whilst scale is initialized by the camera auto-focusing capability. The later is possible by applying the Depth From Focus (DFF) method, which was, till now, limited to high precision camera systems. The demonstrated illustrates benefits of such a system, which is running on a commercially available mobile phone Nokia N900.
U2 - 10.1145/2037373.2037479
DO - 10.1145/2037373.2037479
M3 - Conference contribution/Paper
SN - 9781450305419
BT - MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
PB - ACM
CY - New York
T2 - 13th International Conference on Human-Computer Interaction with Mobile Devices and Services
Y2 - 30 August 2011 through 2 September 2011
ER -