Wide Area Localization on Mobile Phones
| Authors | Arth Clemens, Wagner Daniel, Klopschitz Manfred, Irschara Arnold , Schmalstieg Dieter |
|---|---|
| Appeared in | Proceedings of Int. Symposium on Mixed and Augmented Reality 2009 (ISMAR´09) |
| Organization | IEEE |
| Date | October 2009 |
| Abstract | We present a fast and memory effcient 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 partioned 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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