vaida-abstract
Abstract - Ph D thesis Anders Henrysson
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 exchange 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 optimization 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 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 – an emerging
trend engaging major industry players.
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 interaction device. Work is presented
where a mobile phone harvests a sensor-network to visualize live data
in its context through AR.
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 also 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 AR experience to a
large audience.
Fulltext:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10204
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