Visualization Symposium, IEEE Pacific (2009)
Apr. 20, 2009 to Apr. 23, 2009
Abon Chaudhuri , Computer Science&Engineering, The Ohio State University, USA
Han-Wei Shen , Computer Science&Engineering, The Ohio State University, USA
In this paper, we present a novel adaptive visualization technique where the constituting polygons dynamically change their geometry and other visual attributes depending on user interaction. These changes take place with the objective of conveying required level of detail to the user through each view. Our proposed technique is successfully applied to build a treemap-based but 3D visualization of hierarchical data, a widely used information structure. This new visualization exploits its adaptive nature to address issues like cluttered display, imperceptible hierarchy, lack of smooth zoom-in and out technique which are common in tree visualization. We also present an algorithm which utilizes the flexibility of our proposed technique to deal with occlusion, a problem inherent in any 3D information visualization. On one hand, our work establishes adaptive visualization as a means of displaying tree-structured data in 3D. On the other, it promotes the technique as a potential candidate for being employed to visualize other information structures also.
Abon Chaudhuri, Han-Wei Shen, "A self-adaptive treemap-based technique for visualizing hierarchical data in 3D", Visualization Symposium, IEEE Pacific, vol. 00, no. , pp. 105-112, 2009, doi:10.1109/PACIFICVIS.2009.4906844