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2009 8th IEEE International Symposium on Mixed and Augmented Reality
Wide area localization on mobile phones
Orlando, FL, USA
October 19-October 22
ISBN: 978-1-4244-5390-0
Clemens Arth, Graz University of Technology , Austria
Daniel Wagner, Graz University of Technology , Austria
Manfred Klopschitz, Graz University of Technology , Austria
Arnold Irschara, Graz University of Technology , Austria
Dieter Schmalstieg, Graz University of Technology , Austria
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.
Citation:
Clemens Arth, Daniel Wagner, Manfred Klopschitz, Arnold Irschara, Dieter Schmalstieg, "Wide area localization on mobile phones," ismar, pp.73-82, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 2009
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