Coherent zooming of illustrations with 3D-graphics and text
Proceedings of the conference on Graphics interface '97
A 3D 6-subiteration thinning algorithm for extracting medial lines
Pattern Recognition Letters
A New Concept and Method for Line Clipping
ACM Transactions on Graphics (TOG)
View management for virtual and augmented reality
Proceedings of the 14th annual ACM symposium on User interface software and technology
Shadow algorithms for computer graphics
SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
Evaluating Label Placement for Augmented Reality View Management
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
A characterization of the scientific data analysis process
VIS '92 Proceedings of the 3rd conference on Visualization '92
Information-rich virtual environments: theory, tools, and research agenda
Proceedings of the ACM symposium on Virtual reality software and technology
Dynamic label placement for improved interactive exploration
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Metrics for functional and aesthetic label layouts
SG'05 Proceedings of the 5th international conference on Smart Graphics
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The visualization of scientific data sets can be enhanced by providing additional information that aids the data analysis process. This information is represented by so called annotations, which contain descriptive meta data about the underlying visualization. The meta data results from diverse sources like previous analysis sessions (e.g. ideas, comments, or sketches) or automated meta data extraction (e.g. descriptive statistics). Visually integrating annotations into an existing data visualization while maintaining easy data access and a clear overview over all visible annotations is a non-trivial task. Several automated annotation positioning algorithms have been proposed that specifically target single-screen display systems and hence cannot be applied to immersive multiscreen display systems commonly used in Virtual Reality. In this paper, we propose a new automated annotation positioning algorithm specifically designed for such display systems. Our algorithm is based on an analogy to the well-known shadow volume technique, which is used to determine occlusion relations. A force-based approach is used to update annotation positions. The whole algorithm is independent of the specific annotation contents and considers well-established quality criteria to build an annotation layout. We evaluate our algorithm by means of performance measurements and a structured expert walkthrough.