Abstract
This paper presents a localization mechanism for mobile augmented reality systems in various places. Recently, variety of image-based tracking methods have been proposed: artificial marker based methods, and natural feature based methods. However, localization done with only one tracking methods is difficult in all situation. Therefore, we propose a system, which enables users to continually track in various situation by dynamically switching the multiple localization methods. Our proposed mechanism consists of clients, a switcher, and servers. The server estimates the camera pose of the client, and the switcher selects the outstanding localization method. Furthermore, we employed real-time mapping to continually estimate the position and orientation even if the camera is apart from the prior knowledge of the environment. After localization, the newly updated mapping result is stored in the server. Thus, we could continually track even if the environment has changed.
Chapter PDF
Similar content being viewed by others
References
Kato, H., Billinghurst, M.: Marker tracking and HMD calibration for a video-based augmented reality conferencing system. In: Proc. Int’l Workshop on Augmented Reality (IWAR), pp. 85–94 (1999)
Wagner, D., Schmalsting, D.: First steps towards handheld augmented reality. In: Proc. Int’l Conf. Wearable Computers (ISWC), pp. 127–135 (2003)
Tenmoku, R., Yoshida, Y., Shibata, F., Kimura, A., Tamura, H.: Visually elegant and robust semi-fiducials for geometric registration in mixed reality. In: Proc. Int’l Symp. on Mixed and Augmented Reality (ISMAR), pp. 261–262 (2007)
Kubo, Y., Komurasaki, S., Shibata, F., Kimura, A., Tamura, H.: Trial evaluation of a marker-based geometric registration method using a TrakMark data set. In: Proc. Int’l Workshop on Benchmark Test Scheme for AR/MR Geometric Registration and Tracking Method (TrakMark), pp. 6–9 (2012)
Pirchheim, C., Reitmayr, G.: Homography-based planar mapping and tracking for mobile phones. In: Mixed and Augmented Reality (ISMAR), pp. 27–36 (2011)
Kurz, D., Olszamowski, T., Benhimane, S.: Representative feature descriptor sets for robust handheld camera localization. In: Proc. Mixed and Augmented Reality (ISMAR), pp. 65–70 (2012)
Arth, C., Wagner, D., Klopschitz, M., Irschara, A., Schmalstieg, D.: Wide area localization on mobile phones. In: Proc. Int’l Symp. on Mixed and Augmented Reality (ISMAR), pp. 73–92 (2009)
Arth, C., Klopschitz, M.: Real-time self-localization from panoramic images on mobile devices. In: Proc. Int’l Symp. on Mixed and Augmented Reality (ISMAR), pp. 37–46 (2011)
Oe, M., Sato, T., Yokoya, N.: Estimating camera position and posture by using feature landmark database. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540, pp. 171–181. Springer, Heidelberg (2005)
Ventura, J., Höllerer, T.: Wide-area scene mapping for mobile visual tracking. In: Proc. Int’l Symp. on Mixed and Augmented Reality (ISMAR), pp. 3–12 (2012)
Klein, G., Murray, D.: Parallel tracking and mapping for small AR workspaces. In: Proc. Int’l Symp. on Mixed and Augmented Reality (ISMAR), pp. 1–10 (2007)
Klein, G., Murray, D.: Parallel tracking and mapping on a camera phone. In: Proc. Int’l Symp. on Mixed and Augmented Reality (ISMAR), pp. 83–86 (2009)
Castle, R., Klein, G., Murray, D.W.: Video-rate localization in multiple maps for wearable augmented reality. In: Proc. Int’l Symp. on Wearable Computers (ISWC), pp. 15–22 (2008)
Chum, O., Matas, J.: Matching with PROSAC - progressive sample consensus. In: Proc. Conf. on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 220–226 (2005)
Lucas, B.D., Kanade, T.: An interactive image registration technique with an application to stereo vision. In: Proc. Image Understanding Workshop, pp. 121–130 (1981)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Miyagi, A., Yoshihara, D., Kusui, K., Kimura, A., Shibata, F. (2014). Mobile Augmentation Based on Switching Multiple Tracking Method. In: Shumaker, R., Lackey, S. (eds) Virtual, Augmented and Mixed Reality. Designing and Developing Virtual and Augmented Environments. VAMR 2014. Lecture Notes in Computer Science, vol 8525. Springer, Cham. https://doi.org/10.1007/978-3-319-07458-0_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-07458-0_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07457-3
Online ISBN: 978-3-319-07458-0
eBook Packages: Computer ScienceComputer Science (R0)