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Li, Juan and Slembrouck, Maarten and Deboeverie, Francis and Bernardos Barbolla, Ana M. and Besada Portas, Juan Alberto and Veelaert, Peter and Aghajan, Hamid and Philips, Wilfried and Casar Corredera, José Ramón (2015). A hybrid pose tracking approach for handheld augmented reality. In: "9th International Conference on Distributed Smart Cameras (ICDSC '15)", 08/09/2015 - 11/09/2015, Seville, Spain. ISBN 78-1-4503-3681-9/15/09. pp. 7-12. https://doi.org/10.1145/2789116.2789128.
Title: | A hybrid pose tracking approach for handheld augmented reality |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 9th International Conference on Distributed Smart Cameras (ICDSC '15) |
Event Dates: | 08/09/2015 - 11/09/2015 |
Event Location: | Seville, Spain |
Title of Book: | 9th International Conference on Distributed Smart Cameras (ICDSC '15) |
Date: | 2015 |
ISBN: | 78-1-4503-3681-9/15/09 |
Subjects: | |
Freetext Keywords: | Pose tracking; handheld augmented reality; sensor fusion |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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With the rapid advances in mobile computing, handheld Augmented Reality draws increasing attention. Pose tracking of handheld devices is of fundamental importance to register virtual information with the real world and is still a crucial challenge. In this paper, we present a low-cost, accurate and robust approach combining fiducial tracking and inertial sensors for handheld pose tracking. Two LEDs are used as fiducial markers to indicate the position of the handheld device. They are detected by an adaptive thresholding method which is robust to illumination changes, and then tracked by a Kalman filter. By combining inclination information provided by the on-device accelerometer, 6 degree-of-freedom (DoF) pose is estimated. Handheld devices are freed from computer vision processing, leaving most computing power available for applications. When one LED is occluded, the system is still able to recover the 6-DoF pose. Performance evaluation of the proposed tracking approach is carried out by comparing with the ground truth data generated by the state-of-the-art commercial motion tracking system OptiTrack. Experimental results show that the proposed system has achieved an accuracy of 1.77 cm in position estimation and 4.15 degrees in orientation estimation.
Item ID: | 42398 |
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DC Identifier: | https://oa.upm.es/42398/ |
OAI Identifier: | oai:oa.upm.es:42398 |
DOI: | 10.1145/2789116.2789128 |
Deposited by: | Memoria Investigacion |
Deposited on: | 04 Sep 2016 08:23 |
Last Modified: | 21 Mar 2023 17:10 |