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Paper ID: 1557

A generic approach to High Performance Visualization enabled Augmented Reality
Chris J,Hughes Nigel W,John Mark,Riding

Appeared in: Proceedings of the UK e-Science All Hands Conference 2006 website: http://www.allhands.org.uk/2006/
Page Numbers:441 - 445
Publisher: National e-Science Centre
Year: 2006
ISBN/ISSN: 0-9553988-0-0
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2006/proceedings/papers/701.pdf

Abstract: Traditionally registration and tracking within Augmented Reality (AR) applications have been built around limited bold markers, which allow for their orientation to be estimated in real-time. All attempts to implement AR without specific markers have increased the computational requirements and some information about the environment is still needed. In this paper we describe a method that not only provides a generic platform for AR but also seamlessly deploys High Performance Computing (HPC) resources to deal with the additional computational load, as part of the distributed High Performance Visualization (HPV) pipeline used to render the virtual artifacts. Repeatable feature points are extracted from known views of a real object and then we match the best stored view to the users viewpoint using the matched feature points to estimate the objects pose. We also show how our AR framework can then be used in the real world by presenting a markerless AR interface for Transcranial Magnetic Stimulation (TMS).

Keywords: e-Science, AHM 2006


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