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Wide area localization on mobile phones

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5 Author(s)
Arth, Clemens ; Graz Univ. of Technol., Graz, Austria ; Wagner, Daniel ; Klopschitz, M. ; Irschara, A.
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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.

Published in:

Mixed and Augmented Reality, 2009. ISMAR 2009. 8th IEEE International Symposium on

Date of Conference:

19-22 Oct. 2009