On sensor fusion for head tracking in augmented reality applications

Name: On sensor fusion for head tracking in augmented reality applications
Author: Ercan, Ali Özer, Erdem, Tanju

İsim	On sensor fusion for head tracking in augmented reality applications
Yazar	Ercan, Ali Özer, Erdem, Tanju
Basım Tarihi:	2011
Basım Yeri	- IEEE
Konu	Augmented reality
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4577-0081-1
Kayıt Numarası	e6f87a41-7bbe-4730-8572-f27f4492b07b
Lokasyon	Electrical & Electronics Engineering, Computer Science
Tarih	2011
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	The paper presents a simple setup consisting of a camera and an accelerometer located on a head mounted display, and investigates the performance of head tracking for augmented reality applications using this setup. The information from the visual and inertial sensors is fused in an extended Kalman filter (EKF) tracker. The performance of treating accelerometer measurements as control inputs is compared to treating both camera and accelerometer measurements as measurements, i.e., fusing them in the measurement update stage of the EKF simultaneously. It is concluded via simulations that treating accelerometer measurements as control inputs performs practically as good as treating both measurements as measurements, while providing a lower complexity tracker.

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On sensor fusion for head tracking in augmented reality applications

Yazar Ercan, Ali Özer, Erdem, Tanju

Basım Tarihi 2011

Basım Yeri - IEEE

Konu Augmented reality

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4577-0081-1

Kayıt Numarası e6f87a41-7bbe-4730-8572-f27f4492b07b

Lokasyon Electrical & Electronics Engineering, Computer Science

Tarih 2011

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin The paper presents a simple setup consisting of a camera and an accelerometer located on a head mounted display, and investigates the performance of head tracking for augmented reality applications using this setup. The information from the visual and inertial sensors is fused in an extended Kalman filter (EKF) tracker. The performance of treating accelerometer measurements as control inputs is compared to treating both camera and accelerometer measurements as measurements, i.e., fusing them in the measurement update stage of the EKF simultaneously. It is concluded via simulations that treating accelerometer measurements as control inputs performs practically as good as treating both measurements as measurements, while providing a lower complexity tracker.