Hybrid Tracking for Augmented Reality GIS Registration

This paper describes the work to resolve registration problem of augmented reality geographic information system (ARGIS). ARGIS is composed of AR system and 3DGIS, 3DGIS can provide detailed models and 3D map of the real world for AR system, so ARGIS is actually an outdoor augmented reality system. In this paper, we present a hybrid tracking method for registration in ARGIS, by using data from GPS receiver and inertial sensors, observer position and orientation can be approximately determined in 3DGIS; therefore a 2D screen image can be generated from 3DGIS. This screen image should be similar to real world image taken by a camera at the same position and direction in the real world. Therefore, the main work of the registration in ARGIS is to match real image with screen image. We introduce virtual marks to make the match result to be stable and fast, and accordingly to realize precise registration. Experiment shows that the method is efficient and promising.

[1]  Venkataraman Sundareswaran,et al.  Model-based visual tracking for outdoor augmented reality applications , 2002, Proceedings. International Symposium on Mixed and Augmented Reality.

[2]  Reinhold Behringer,et al.  Registration for outdoor augmented reality applications using computer vision techniques and hybrid sensors , 1999, Proceedings IEEE Virtual Reality (Cat. No. 99CB36316).

[3]  Tom Drummond,et al.  Going out: robust model-based tracking for outdoor augmented reality , 2006, 2006 IEEE/ACM International Symposium on Mixed and Augmented Reality.

[4]  Ulrich Neumann,et al.  Vision-based pose computation: robust and accurate augmented reality tracking , 1999, Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR'99).

[5]  Ulrich Neumann,et al.  Dynamic registration correction in augmented-reality systems , 1995, Proceedings Virtual Reality Annual International Symposium '95.

[6]  Ronald Azuma,et al.  Hybrid inertial and vision tracking for augmented reality registration , 1999, Proceedings IEEE Virtual Reality (Cat. No. 99CB36316).

[7]  Tom Drummond,et al.  Robust visual tracking for non-instrumental augmented reality , 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

[8]  Rajeev Sharma,et al.  Computer Vision-Based Augmented Reality for Guiding Manual Assembly , 1997, Presence: Teleoperators & Virtual Environments.

[9]  Suya You,et al.  A robust hybrid tracking system for outdoor augmented reality , 2004, IEEE Virtual Reality 2004.

[10]  Ronald Azuma,et al.  A Survey of Augmented Reality , 1997, Presence: Teleoperators & Virtual Environments.

[11]  Didier Stricker,et al.  Real-time and markerless vision-based tracking for outdoor augmented reality applications , 2001, Proceedings IEEE and ACM International Symposium on Augmented Reality.

[12]  Hideyuki Tamura,et al.  A hybrid registration method for outdoor augmented reality , 2001, Proceedings IEEE and ACM International Symposium on Augmented Reality.

[13]  Bruce H. Thomas,et al.  ARQuake: an outdoor/indoor augmented reality first person application , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[14]  Ulrich Neumann,et al.  A self-tracking augmented reality system , 1996, VRST.

[15]  Harald Ganster,et al.  Hybrid Tracking for Outdoor Augmented Reality Applications , 2002, IEEE Computer Graphics and Applications.