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Subject: [Faculty] PhD Proposal - Chris Coffin - 7/1 (Thurs)
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PhD Proposal
Christopher Coffin
Thursday, July 1st, 2010
1:00 - 3250 Elings Hall

Committee: Tobias Hollerer (chair), Ben Zhao, Matthew Turk, Keith Clarke

Title: Making Use of Massively User Contributed Content in Anywhere 
Augmentation

Abstract:
User contributed content has proven its usefulness for a range of 
application areas demonstrated by the success of platforms such as 
wikipedia, second-life, and facebook.  Social augmented reality aims to 
improve the augmented reality experience of users through a similar open 
content format.  This goal matches well with the design philosophy of 
Anywhere Augmentation, which aims to provide an augmented reality 
experience to users with low cost ubiquitous hardware.  The combination 
of social AR and anywhere augmentation provides the possibility of 
reusing the information which has been aggregated and redistributing it 
to users in order to improve their AR experiences.

We demonstrate that while using solutions designed around the philosophy 
of Anywhere Augmentation, user contributed content which has been gained 
either passively or actively, is able to improve the anywhere 
augmentation experience of users.  This improvement extends to both the 
tracking of local users and the immersiveness and utility of remote 
locations for telecollaboration.  

We make several contributions in order to enable an enhanced AR 
experience from user contributed content. First we provide a framework 
for the distribution of augmented reality exploration.  We then 
contribute to the construction of environment maps for their use as user 
contributed content.  We improve the robustness of tracking to enable 
environment maps to be created by casual users, and provide a method for 
extending environment maps to automatically obtain some depth 
information with the use of a laser range finder.  Finally, we 
demonstrate that when given a distribution framework and a set of user 
contributed content, we are able to improve the AR experience of future 
users. Specifically, we demonstrate techniques improving outdoor 
tracking localization and recovery.  Future work will explore the use of 
real-time updates of user contributed content to enhance the experience 
of remote explorers.  We will also further examine improvements to 
tracking to allow for more robust 6DoF relocalization.

Everyone Welcome.

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