Title :
Transform flow: A mobile augmented reality visualisation and evaluation toolkit
Author :
Williams, S. ; Green, Ron ; Billinghurst, Mark
Author_Institution :
Comput. Sci., Univ. of Canterbury, Christchurch, New Zealand
Abstract :
It is common in mobile augmented reality (AR) research to examine results that Avere attained with unpublished tools and data sets, which makes it difficult to compare and improve existing work without significant effort.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.
Keywords :
augmented reality; data visualisation; mobile computing; captured data sets; data capture application; data sets; desktop application; iOS; mobile AR; mobile application; mobile augmented reality evaluation toolkit; mobile augmented reality visualisation toolkit; tracking algorithms; transform flow; unpublished tools; Algorithm design and analysis; Cameras; Data visualization; Hardware; Mobile communication; Tracking; Transforms;
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location :
Wellington
Print_ISBN :
978-1-4799-0882-0
DOI :
10.1109/IVCNZ.2013.6726992