Context-controlled flow visualization in augmented reality

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Context-controlled flow visualization in augmented reality

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ACM International Conference Proceeding Series; Vol. 322 archive
Proceedings of graphics interface 2008 table of contents

Windsor, Ontario, Canada

SESSION: Visualization 1 table of contents

Pages 89-96

Year of Publication: 2008

ISBN ~ ISSN:0713-5424 , 978-1-56881-423-0

Authors

Mike Eissele	University of Stuttgart
Matthias Kreiser	University of Stuttgart
Thomas Ertl	University of Stuttgart

Sponsor

: The Canadian Human-Computer Communications Society / Société Canadienne du Dialogue Humaine Machine (CHCCS/SCDHM)

Publisher

Canadian Information Processing Society Toronto, Ont., Canada, Canada

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ABSTRACT

A major challenge of novel scientific visualization using Augmented Reality is the accuracy of the user/camera position tracking. Many alternative techniques have been proposed, but still there is no general solution.

Therefore, this paper presents a system that copes with different conditions and makes use of context information, e.g. available tracking quality, to select adequate Augmented Reality visualization methods. This way, users will automatically benefit from highquality visualizations if the system can estimate the pose of the realworld camera accurately enough. Otherwise, specially-designed alternative visualization techniques which require a less accurate positioning are used for the augmentation of real-world views. The proposed system makes use of multiple tracking systems and a simple estimation of the currently available overall accuracy of the pose estimation, used as context information to control the resulting visualization. Results of a prototypical implementation for visualization of 3D scientific flow data are presented to show the practicality.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	A. R. T. Advanced Real-time Tracking GmbH. http://www.artracking.de/, 2007.
	2	Enylton Machado Coelho, Blair MacIntyre, and Simon J. Julier. OSGAR: A scene Graph with Uncertain Transformations. In Proceedings of the 3rd IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'04), pages 6--15. IEEE Computer Society, 2004.
	3	Stephen DiVerdi and Tobias Höllerer. Image-space Correction of AR Registration Errors Using Graphics Hardware. In Proceedings of the IEEE Virtual Reality Conference (VR 2006), pages 241--244. IEEE Computer Society, 2006.
	4	Gordon Erlebacher, Christoph Garth, Robert S. Laramee, Holger Theisel, Xavier Tricoche, Tino Weinkauf, and Daniel Weiskopf. IEEE Visualization 2006, Tutorial on Texture and Feature-Based Flow Visualization Methodology and Applications. http://www-hagen.informatik.uni-kl.de/vis06-tutorial/, 2006.
	5	J. Fischer, D. Bartz, and W. Straßer. Artistic Reality: Fast Brush Stroke Stylization for Augmented Reality. In Proceedings of ACM Symposium on Virtual Reality Software and Technology (VRST), pages 155--158, 2005.
	6	H. Kato and M. Billinghurst. The AR-ToolKit. http://www.hitl.washington.edu/artoolkit/, 2007.
	7	Georg Klein and Tom Drummond. Sensor Fusion and Occlusion Refinement for Tablet-Based AR. In Proceedings of the Third IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'04), pages 38--47. IEEE Computer Society, 2004.
	8	U. Lang and U. Wössner. Virtual and Augmented Reality Developments for Engineering Applications. In Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS, 2004.
	9	Oliver Mattausch, Thomas Theußl, Helwig Hauser, and Eduard Gröller. Strategies for interactive exploration of 3D flow using evenlyspaced illuminated streamlines. In Proceedings of the 19th spring conference on Computer graphics (SCCG '03), pages 213--222. ACM Press, 2003.
	10	Erick Méndez, Denis Kalkofen, and Dieter Schmalstieg. Interactive context-driven visualization tools for augmented reality. In In proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'06), pages 209--218. IEEE Computer Society, 2006.
	11	Joseph Newman, István Barakonyi, Andreas Stürzinger, and Dieter Schmalstieg. Wide Area Tracking Tools for Augmented Reality. In Proceedings of Advances in Pervasive Computing 2006, pages 143--146, 2006.
	12	Robert Osfield, Don Burns, and Others. Open scene graph. http://www.openscenegraph.org, 2007.
	13	C. M. Robertson and B. MacIntyre. An Evaluation of Graphical Context as a Means for Ameliorating the Effects of Registration Error. In Proceedings of the Sixth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2007), 2007.
	14	M. Schlemmer, I. Hotz, B. Hamann, F. Morr, and H. Hagen. Priority streamlines: a context-based visualization of flow fields. In Proceedings of EuroVis 2007, Data Visualization, 2007.
	15	D. Weiskopf and T. Ertl. A hybrid physical/device-space approach for spatio-temporally coherent interactive texture advection on curved surfaces. In Proceedings of Graphics Interface, pages 263--270. IEEE Computer Society, 2004.
	16	Malte Zöckler, Detlev Stalling, and Hans-Christian Hege. Interactive visualization of 3D-vector fields using illuminated stream lines. In Proceedings of the 7th conference on Visualization '96 (VIS 96), pages 107-ff. IEEE Computer Society Press, 1996.