Wide area localization on mobile phones

Clemens Arth, Daniel Wagner, Manfred Klopschitz, Arnold Irschara, Dieter Schmalstieg
2009 2009 8th IEEE International Symposium on Mixed and Augmented Reality  
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
more » ... g 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.
doi:10.1109/ismar.2009.5336494 dblp:conf/ismar/ArthWKIS09 fatcat:wrhrrivez5fnbc575drvrvmhk4