Transform flow: A mobile augmented reality visualisation and evaluation toolkit
Date
2013
Authors
Williams, S.
Green, R.
Billinghurst, M.
Editors
Rhee, T.
Rayudu, R.
Hollitt, C.
Lewis, J.
Zhang, M.
Rayudu, R.
Hollitt, C.
Lewis, J.
Zhang, M.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
International Conference Image and Vision Computing New Zealand, 2013 / Rhee, T., Rayudu, R., Hollitt, C., Lewis, J., Zhang, M. (ed./s), pp.53-58
Statement of Responsibility
Conference Name
28th International Conference on Image and Vision Computing (27 Nov 2013 - 29 Nov 2013 : Wellington, New Zealand)
Abstract
It is common in mobile augmented reality(AR) research to examine results that were attained with unpublished tools and data sets, which makes it difficult to compare and improve existing work without significant effort. We discuss the development of an open source toolkit called Transform Flow, which includes a data capture application for iOS, a desktop application to replay and analyse captured data sets with different algorithms, and a mobile application that can run these algorithms in real-time. Our results suggest that our toolkit can be a centre for collaborative research, as it provides a common platform on which tracking algorithms for mobile AR can be developed, studied and eventually deployed.