Wide area localization on mobile phones

Authors:
Clemens Arth;Daniel Wagner;Manfred Klopschitz;Arnold Irschara;Dieter Schmalstieg
Affiliations:
Graz University of Technology , Austria;Graz University of Technology , Austria;Graz University of Technology , Austria;Graz University of Technology , Austria;Graz University of Technology , Austria
Venue:
ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
Year:
2009

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Abstract

We present a fast and memory efficient method for localizing a mobile user's 6DOF pose from a single camera image. Our approach registers a view with respect to a sparse 3D point reconstruction. The 3D point dataset is partitioned into pieces based on visibility constraints and occlusion culling, making it scalable and efficient to handle. Starting with a coarse guess, our system only considers features that can be seen from the user's position. Our method is resource efficient, usually requiring only a few megabytes of memory, thereby making it feasible to run on low-end devices such as mobile phones. At the same time it is fast enough to give instant results on this device class.