Samuel Williams Wednesday, 27 November 2013

It is common in mobile augmented reality (AR) research to examine results that were attained with unpublished tools and data sets, which makes it difficult to compare and improve existing work without significant effort.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.

Published in:
28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013)
Research Paper:
Mobile Augmented Reality Visualisation Toolkit.pdf
Presentation Slides:
Mobile Augmented Reality Visualisation Toolkit - IVCNZ 2013 Presentation.pdf

Further Reading

  • Hybrid Tracking using Gravity Aligned Edges.
  • Real-time Hybrid Tracking for Outdoor Augmented Reality
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