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Orlando, FL
Oct. 19, 2009 to Oct. 22, 2009
ISBN: 978-1-4244-5390-0
pp: 73-82
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
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.
CITATION
Clemens Arth, Daniel Wagner, Manfred Klopschitz, Arnold Irschara, Dieter Schmalstieg, "Wide area localization on mobile phones", ISMAR, 2009, 2009 8th IEEE International Symposium on Mixed and Augmented Reality 2009. Science and Technology. ISMAR 2009, 2009 8th IEEE International Symposium on Mixed and Augmented Reality 2009. Science and Technology. ISMAR 2009 2009, pp. 73-82, doi:10.1109/ISMAR.2009.5336494
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