Wide area localization on mobile phones

• Published in: 2009 8th IEEE International Symposium on Mixed and Augmented Reality pp. 73 - 82
• Main Authors: Arth, Clemens, Wagner, Daniel, Klopschitz, Manfred, Irschara, Arnold, Schmalstieg, Dieter
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 19.10.2009; IEEE
• Series: ACM Other Conferences
• Subjects: 3D/stereo scene analysis I.4.8 [Image Processing And Computer Vision]: Scene Analysis; Cameras; Computer vision; Computer Vision C.5.3 [Computer System Implementation]: Microcomputers; Data acquisition; I.2.10 [Artificial Intelligence]: Vision and Scene Understanding; Image analysis; Image generation; Image reconstruction; Image segmentation; laptops; Layout; Mobile computing; Mobile handsets; personal digital assistants; Portable devices (e.g; Tracking; I.5.4 [Pattern Recognition]: Applications
• ISBN: 9781424453900; 1424453909
• DOI: 10.1109/ISMAR.2009.5336494

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.