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This paper presents Reconfigurable Disc Trees (RDTs), an innovative 3D visualization technique designed to improve the representation of large hierarchical structures. Unlike traditional methods, such as Cone Trees, which suffer from visibility issues and visual clutter when handling over 1,000 nodes, RDTs can dynamically transform their shapes by adjusting attributes like outer radius and apex height. The evaluation demonstrates RDTs' capability to reduce occlusion and increase the number of displayed nodes, thereby enhancing user perception and interaction with complex information spaces.
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Reconfigurable Disc Trees for Visualizing Large Hierarchical Information Space Chang-Sung Jeong Alex Pang Information Visualization, 1998.Proceedings. IEEE Symposium on , 1998 元智資工所 系統實驗室楊錫謦 2000/3/6
Outline • Introduction • RDT • Evaluation • Conclusion
Introduction • There are some 3D visualization techniques used to visualize hierarchical structures. • Cone Tree is one of those 3D visualization techniques. • parts of the cone tree may not be visible • tend to produce visual clutter with more than 1000 nodes • The RDT can alleviate the disadvantages of cone trees for large hierarchies.
RDT • some definitions • outer-radius • center point(cp) • reference point(rp) • apex point(ap) • apex height(ah) • reference height(rh) • reference length(rl)
RDT(cont.) • RDT can transform its shape into various forms by changing the attributes rl, ah, and rh.
RDT(cont.) • 3D RDT Layout Inner_sum > 2π*max_child_radius Inner_sum < 2π*max_child_radius
RDT(cont.) • 2D RDT Layout Inner_sum > 4π*max_child_radius Inner_sum < 4π*max_child_radius
Evaluation • Percentage of Occlusion(Disk Tree)
Evaluation(cont.) • Density of Displayed Nodes(Compact Disk Tree)
Conclusion • RDT can enhance user perception by transforming its shapes dynamically. • disc tree – reduce the occluded region • compact tree – increase the number of nodes displayed • plane disc tree – can be mapped onto to plane withoutvisual overlapping