Transform flow: A mobile augmented reality visualisation and evaluation toolkit (2013)
Type of Content
Conference Contributions - PublishedPublisher
University of Canterbury. Computer Science and Software EngineeringUniversity of Canterbury. Human Interface Technology Laboratory
Related resource(s)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6710229Collections
Authors
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It is common in mobile augmented reality (AR) research to examine results that were attained with unpublished tools and data sets, which makes it difficult to compare and improve existing work without significant effort.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.
Citation
Williams, S., Green, R., Billinghurst, M. (2013) Transform flow: A mobile augmented reality visualisation and evaluation toolkit. Wellington, New Zealand: 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013), 27-29 Nov 2013. 54-58.This citation is automatically generated and may be unreliable. Use as a guide only.
ANZSRC Fields of Research
08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080111 - Virtual Reality and Related Simulation46 - Information and computing sciences::4606 - Distributed computing and systems software::460608 - Mobile computing
08 - Information and Computing Sciences::0802 - Computation Theory and Mathematics::080201 - Analysis of Algorithms and Complexity