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2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2009)
Orlando, FL, USA
Oct. 19, 2009 to Oct. 22, 2009
ISBN: 978-1-4244-5390-0
pp: 73-82
Dieter Schmalstieg , Graz University of Technology , Austria
Manfred Klopschitz , Graz University of Technology , Austria
Daniel Wagner , Graz University of Technology , Austria
Arnold Irschara , Graz University of Technology , Austria
Clemens Arth , Graz University of Technology , Austria
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.
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CITATION
Dieter Schmalstieg, Manfred Klopschitz, Daniel Wagner, Arnold Irschara, Clemens Arth, "Wide area localization on mobile phones", 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), vol. 00, no. , pp. 73-82, 2009, doi:10.1109/ISMAR.2009.5336494
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