Wide Area Localization on Mobile Phones
|Authors||Arth Clemens, Wagner Daniel, Klopschitz Manfred, Irschara Arnold , Schmalstieg Dieter|
Proceedings of Int. Symposium on Mixed and Augmented Reality 2009 (ISMAR´09)
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.