Memorias de investigación
Ponencias en congresos:
A Hybrid Pose Tracking Approach For Handheld Augmented Reality
Año:2015
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
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.
Internacional
Si
Nombre congreso
9th International Conference on Distributed Smart Cameras
Tipo de participación
960
Lugar del congreso
Seville
Revisores
Si
ISBN o ISSN
9781450336819
DOI
Fecha inicio congreso
08/11/2915
Fecha fin congreso
11/11/2015
Desde la página
7
Hasta la página
12
Título de las actas
Proceedings of the 9th International Conference on Distributed Smart Cameras, ACM
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones