CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Strategies for effectively visualizing 3D flow with volume LIC
VIS '97 Proceedings of the 8th conference on Visualization '97
Volume illustration: non-photorealistic rendering of volume models
Proceedings of the conference on Visualization '00
The haloed line effect for hidden line elimination.
SIGGRAPH '79 Proceedings of the 6th annual conference on Computer graphics and interactive techniques
Distortion viewing techniques for 3-dimensional data
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
Interactive Volume Illustration and Feature Halos
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Image enhancement by unsharp masking the depth buffer
ACM SIGGRAPH 2006 Papers
Stylized haloed outlines on the GPU
SIGGRAPH '04 ACM SIGGRAPH 2004 Posters
Image-Based Streamline Generation and Rendering
IEEE Transactions on Visualization and Computer Graphics
Enhancing Depth-Perception with Flexible Volumetric Halos
IEEE Transactions on Visualization and Computer Graphics
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In many interactive scenarios, the fast recognition and localization of crucial information is very important to effectively perform a task. However, in information visualization the visualization of permanently growing large data volumes often leads to a simultaneously growing amount of presented graphical primitives. Besides the fundamental problem of limited screen space, the effective localization of single or multiple items of interest by a user becomes more and more difficult. Therefore, different approaches have been developed to emphasize those items -- mainly by manipulating the items size, by suppressing the whole context or by adding supplemental visual elements (e.g., contours, arrows). This paper introduces the well known illustrative technique of haloing to information visualization to address the localization problem. Applying halos emphasizes items without a manipulation of size or an introduction of additional visual elements and reduces the context suppression to a locally defined region. This paper also presents the results of a first user-study to get an impression of the usefulness of halos for a faster recognition.