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Volume: 28 | Article ID: art00005
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Camera Pose Estimation by Vision-inertial Sensor Fusion: An Application to Augmented Reality Books
  DOI :  10.2352/ISSN.2470-1173.2016.4.ERVR-416  Published OnlineFebruary 2016
Abstract

As the booming of mobile technologies, handheld Augmented Reality draws increasing attention. One crucial process is the position and orientation estimation of the handheld device relative to a reference coordinate system in order to display the virtual content accurately upon the real world. An emerging application is to integrate multimedia elements (e.g., text, images, sound, video) in physical real books to enhance the learning process or provide amusement and interaction. Square markers are popularly used due to their ease-to-use and high accuracy. However, these markers cause visual discomfort. This paper introduces a novel pose tracking approach for mobile devices by combining a tricolored strip, an internal camera and embedded inertial sensors. Furthermore, the application to books is studied. The proposed approach is less intrusive than square markers due to its reduced size and provides accurate six-degree-of-freedom pose estimation in real time.

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Juan Li, Hamid Aghajan, José R Casar, Wilfried Philips, "Camera Pose Estimation by Vision-inertial Sensor Fusion: An Application to Augmented Reality Booksin Proc. IS&T Int’l. Symp. on Electronic Imaging: The Engineering Reality of Virtual Reality,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.4.ERVR-416

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