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Mobile Phone Based AR Scene Assembly
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
HIT Lab NZ, University of Canterbury, New Zealand.
2005 (English)In: Proceedings of the 4th international Conference on Mobile and Ubiquitous Multimedia, 2005, 95-102 p.Conference paper (Other academic)
Abstract [en]

In this paper we describe a mobile phone based Augmented Reality application for 3D scene assembly. Augmented Reality on mobile phones extends the interaction capabilities on such handheld devices. It adds a 6 DOF isomorphic interaction technique for manipulating 3D content. We give details of an application that we believe to be the first where 3D content can be manipulated using both the movement of a camera tracked mobile phone and a traditional button interface as input for transformations. By centering the scene in a tangible marker space in front of the phone we provide a mean for bimanual interaction. We describe the implementation, the interaction techniques we have developed and initial user response to trying the application.

Place, publisher, year, edition, pages
2005. 95-102 p.
Keyword [en]
CAD, augmented reality, mobile phone
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-12746DOI: 10.1145/1149488.1149504OAI: diva2:16962
Available from: 2007-11-20 Created: 2007-11-20 Last updated: 2011-01-04
In thesis
1. Bringing Augmented Reality to Mobile Phones
Open this publication in new window or tab >>Bringing Augmented Reality to Mobile Phones
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

With its mixing of real and virtual, Augmented Reality (AR) is a technology that has attracted lots of attention from the science community and is seen as a perfect way to visualize context-related information. Computer generated graphics is presented to the user overlaid and registered with the real world and hence augmenting it. Promising intelligence amplification and higher productivity, AR has been intensively researched over several decades but has yet to reach a broad audience.

This thesis presents efforts in bringing Augmented Reality to mobile phones and thus to the general public. Implementing technologies on limited devices, such as mobile phones, poses a number of challenges that differ from traditional research directions. These include: limited computational resources with little or no possibility to upgrade or add hardware, limited input and output capabilities for interactive 3D graphics. The research presented in this thesis addresses these challenges and makes contributions in the following areas:

Mobile Phone Computer Vision-Based Tracking

The first contribution of thesis has been to migrate computer vision algorithms for tracking the mobile phone camera in a real world reference frame - a key enabling technology for AR. To tackle performance issues, low-level optimized code, using fixed-point algorithms, has been developed.

Mobile Phone 3D Interaction Techniques

Another contribution of this thesis has been to research interaction techniques for manipulating virtual content. This is in part realized by exploiting camera tracking for position-controlled interaction where motion of the device is used as input. Gesture input, made possible by a separate front camera, is another approach that is investigated. The obtained results are not unique to AR and could also be applicable to general mobile 3D graphics.

Novel Single User AR Applications

With short range communication technologies, mobile phones can exchange data not only with other phones but also with an intelligent environment. Data can be obtained for tracking or visualization; displays can be used to render graphics with the tracked mobile phone acting as an interaction device. Work is presented where a mobile phone harvests a sensor-network to use AR to visualize live data in context.

Novel Collaboration AR Applications

One of the most promising areas for mobile phone based AR is enhancing face-to-face computer supported cooperative work. This is because the AR display permits non-verbal cues to be used to a larger extent. In this thesis, face-to-face collaboration has been researched to examine whether AR increases awareness of collaboration partners even on small devices such as mobile phones. User feedback indicates that this is the case, confirming the hypothesis that mobile phones are increasingly able to deliver an AR experience to a large audience.

Place, publisher, year, edition, pages
New York, USA: ACM, 2007
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1145
Mobile Phone, Augmented Reality, HCI, Ubiquitous Computing, 3D Interaction, Computer Vision
National Category
Computer Vision and Robotics (Autonomous Systems)
urn:nbn:se:liu:diva-10204 (URN)978-91-85895-43-4 (ISBN)
Public defence
2007-12-14, K2, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 13:15 (English)
On the day of the defence date the status on articles III and VIII was: Accepted.Available from: 2007-11-20 Created: 2007-11-20 Last updated: 2015-09-22

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