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Utilizing sensor fusion in markerless mobile augmented reality

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Utilizing sensor fusion in markerless mobile augmented reality. / Čopič Pucihar , Klen; Coulton, Paul; Hutchinson, Daniel.

MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services. New York : ACM, 2011.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Čopič Pucihar , K, Coulton, P & Hutchinson, D 2011, Utilizing sensor fusion in markerless mobile augmented reality. in MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services. ACM, New York, 13th International Conference on Human-Computer Interaction with Mobile Devices and Services, Stockholm, Sweden, 30/08/11. https://doi.org/10.1145/2037373.2037479

APA

Čopič Pucihar , K., Coulton, P., & Hutchinson, D. (2011). Utilizing sensor fusion in markerless mobile augmented reality. In MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services ACM. https://doi.org/10.1145/2037373.2037479

Vancouver

Čopič Pucihar K, Coulton P, Hutchinson D. Utilizing sensor fusion in markerless mobile augmented reality. In MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services. New York: ACM. 2011 https://doi.org/10.1145/2037373.2037479

Author

Čopič Pucihar , Klen ; Coulton, Paul ; Hutchinson, Daniel. / Utilizing sensor fusion in markerless mobile augmented reality. MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services. New York : ACM, 2011.

Bibtex

@inproceedings{4167db6effe54a1fa032b6e24e4fa5c4,
title = "Utilizing sensor fusion in markerless mobile augmented reality",
abstract = "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.",
author = "{{\v C}opi{\v c} Pucihar}, Klen and Paul Coulton and Daniel Hutchinson",
year = "2011",
month = aug,
doi = "10.1145/2037373.2037479",
language = "English",
isbn = "9781450305419",
booktitle = "MobileHCI '11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services",
publisher = "ACM",
note = "13th International Conference on Human-Computer Interaction with Mobile Devices and Services ; Conference date: 30-08-2011 Through 02-09-2011",

}

RIS

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 -