A hybrid pose tracking approach for handheld augmented reality

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, Jose Ramon (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.

Description

Title: A hybrid pose tracking approach for handheld augmented reality
Author/s:
  • Li, Juan
  • Slembrouck, Maarten
  • Deboeverie, Francis
  • Bernardos Barbolla, Ana M.
  • Besada Portas, Juan Alberto
  • Veelaert, Peter
  • Aghajan, Hamid
  • Philips, Wilfried
  • Casar Corredera, Jose Ramon
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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Abstract

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.

More information

Item ID: 42398
DC Identifier: http://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: 04 Sep 2016 08:23
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