Abstract
Position and orientation tracking is a major challenge for mixed/augmented reality applications, especially in heterogeneous and wide-area sensor setups. In this chapter, we describe trackman, a planning and analysis tool which supports the AR-engineer in setup and maintenance of the tracking infrastructure. A new graphical modeling approach based on spatial relationship graphs (SRGs) eases the specification of known as well as the deduction of new relationships between entities in the scene. Modeling is based on reusable patterns representing the underlying sensor drivers or algorithms. Recurring constellations in the scene can be condensed into reusable meta patterns. The process is further simplified by semi-automatic modeling techniques which automize trivial steps. Data flow networks can be generated automatically from the SRG and are guaranteed to be semantically correct. Furthermore, generic tools are described that allow for the calibration/registration of static spatial transformations as well as for the live surveillance of tracking accuracy. In summary, this approach reduces tremendously the amount of expert knowledge needed for the administration of tracking setups.
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Notes
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The Ubitrack runtime library and trackman can be downloaded from http://campar.in.tum.de/UbiTrack/WebHome
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A comprehensive reference is provided at http://campar.in.tum.de/UbiTrack/WebHome
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FARO Technologies Inc.
References
J. Albus. 4D/RCS: a reference model architecture for intelligent unmanned ground vehicles. In Proceedings of SPIE, volume 4715, page 303. SPIE, 2002.
M. Bauer, M. Schlegel, D. Pustka, N. Navab, and G. Klinker. Predicting and estimating the accuracy of vision-based optical tracking systems. In Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Santa Barbara, USA, October 2006.
B. Becker, M. Huber, and G. Klinker. Utilizing RFIDs for location aware computing. In Proceedings of the 5th International Conference on Ubiquitous Intelligence and Computing (UIC’08), Oslo, Norway, 2008.
J. Bouchet, L. Nigay, and T. Ganille. ICARE software components for rapidly developing multimodal interfaces.In Proceedings of the 6th International Conference on Multimodal Interfaces, pages 251–258. ACM New York, USA, 2004.
E. Coelho, B. MacIntyre, and S. Julier. OSGAR: A scene graph with uncertain transformations. In International Symposium on Mixed and Augmented Reality (ISMAR 2004), pages 6–15, 2004.
M. Darms, P. Rybski, C. Urmson, C. Inc, and M. Aubur. Hills. Classification and tracking of dynamic objects with multiple sensors for autonomous driving in urban environments. In Intelligent Vehicles Symposium, 2008 IEEE, pages 1197–1202, 2008.
E. D. Dickmanns. Dynamic Vision for Perception and Control of Motion. Springer Verlag, Berlin, 2007.
P. Dragicevic and J. Fekete. Input device selection and interaction configuration with ICON. In People and Computer XV-Interaction Without Frontier (Joint proceedings of HCI 2001 and IHM 2001), pages 543–448, 2001.
F. Echtler, M. Huber, D. Pustka, P. Keitler, and G. Klinker. Splitting the scene graph - using spatial relationship graphs instead of scene graphs in augmented reality. In Proceedings of the 3rd International Conference on Computer Graphics Theory and Applications (GRAPP), January. 2008.
B. Horn, H. Hilden, and S. Negahdaripour. Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society of America A, 4(4):629–642, 1987.
M. Huber, D. Pustka, P. Keitler, E. Florian, and G. Klinker. A system architecture for ubiquitous tracking environments. In Proceedings of the 6th International Symposium on Mixed and Augmented Reality (ISMAR ’07), November 2007.
P. Keitler, M. Schlegel, and G. Klinker. Indirect tracking for on-the-fly elimination of occlusion problems. Demonstration at IEEE International Symposium on Mixed and Augmented Reality (ISMAR ’08), September 2008.
P. Keitler, M. Schlegel, and G. Klinker. Indirect tracking to reduce occlusion problems. In Advances in Visual Computing, Fourth International Symposium, ISVC 2008 Las Vegas, USA, December 1–3, volume 5359(2) of Lecture Notes in Computer Science, pages 224–235, Springer Berlin, 2008.
J. Newman, A. Bornik, D. Pustka, F. Echtler, M. Huber, D. Schmalstieg, and G. Klinker. Tracking for distributed mixed reality environments. In Workshop on Trends and Issues in Tracking for Virtual Environments at the IEEE Virtual Reality Conference (VR ’07), March 2007.
J. Newman, M. Wagner, M. Bauer, A. MacWilliams, T. Pintaric, D. Beyer, D. Pustka, F. Strasser, D. Schmalstieg, and G. Klinker. Ubiquitous tracking for augmented reality. In Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR ’04), Arlington, USA, November 2004.
D. Pustka. Construction of data flow networks for augmented reality applications. In Proceedings of the Dritter Workshop Virtuelle und Erweiterte Realität der GI-Fachgruppe VR/AR, Koblenz, Germany, September 2006.
D. Pustka, M. Huber, M. Bauer, and G. Klinker. Spatial relationship patterns: Elements of reusable tracking and calibration systems. In Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR ’06), October 2006.
D. Pustka, M. Huber, F. Echtler, and P. Keitler. UTQL: The Ubiquitous Tracking Query Language v1.0. Technical Report TUM-I0718, Institut für Informatik, Technische Universität München, 2007.
D. Pustka and G. Klinker. Integrating gyroscopes into ubiquitous tracking environments. In Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR ’08), September 2008.
G. Reitmayr and D. Schmalstieg. An open software architecture for virtual reality interaction. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, pages 47–54. ACM New York, USA, 2001.
M. Serrano, D. Juras, and L. Nigay. A three-dimensional characterization space of software components for rapidly developing multimodal interfaces. In Proceedings of the 10th International Conference on Multimodal Interfaces, pages 149–156. ACM New York, USA, 2008.
P. Strauss and R. Carey. An object-oriented 3D graphics toolkit. Computer Graphics, 26(2):341–349, July 1992. Siggraph ’92.
R. M. Taylor, T. C. Hudson, A. Seeger, H. Weber, J. Juliano, and A. T. Helser. Vrpn: a device-independent, network-transparent vr peripheral system. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology, pages 55–61. ACM Press, New York, USA, 2001.
S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents). MIT press, Cambridge, Massachusetts, USA, 2005.
R. Tsai and R. Lenz. Real time versatile robotics hand/eye calibration using 3D machine vision. In IEEE International Conference on Robotics and Automation, volum. 1, pages 554–561, 1988.
G. Welch and E. Foxlin. Motion tracking: No silver bullet, but a respectable arsenal. IEEE Computer Graphics and Applications, pages 24–38, 2002.
Acknowledgments
This work was supported by the Bayerische Forschungsstiftung (project trackframe, AZ-653-05) and the PRESENCCIA Integrated Project funded under the European Sixth Framework Program, Future and Emerging Technologies (FET) (contract no. 27731).
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Keitler, P., Pustka, D., Huber, M., Echtler, F., Klinker, G. (2010). Management of Tracking for Mixed and Augmented Reality Systems. In: Dubois, E., Gray , P., Nigay, L. (eds) The Engineering of Mixed Reality Systems. Human-Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84882-733-2_13
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