Interactive visualization of 3D-vector fields using illuminated stream lines
Proceedings of the 7th conference on Visualization '96
Strategies for interactive exploration of 3D flow using evenly-spaced illuminated streamlines
SCCG '03 Proceedings of the 19th spring conference on Computer graphics
GI '04 Proceedings of the 2004 Graphics Interface Conference
OSGAR: A Scene Graph with Uncertain Transformations
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Sensor Fusion and Occlusion Refinement for Tablet-Based AR
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Artistic reality: fast brush stroke stylization for augmented reality
Proceedings of the ACM symposium on Virtual reality software and technology
Image-space Correction of AR Registration Errors Using Graphics Hardware
VR '06 Proceedings of the IEEE conference on Virtual Reality
Interactive context-driven visualization tools for augmented reality
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
An Evaluation of Graphical Context as a Means for Ameliorating the Effects of Registration Error
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Priority streamlines: a context-based visualization of flow fields
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Interactive Context-Aware Visualization for Mobile Devices
SG '09 Proceedings of the 10th International Symposium on Smart Graphics
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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.