Attribute-driven edge bundling for general graphs with applications in trail analysis

Edge bundling methods reduce visual clutter of dense and occluded graphs. However, existing bundling techniques either ignore edge properties such as direction and data attributes, or are otherwise computationally not scalable, which makes them unsuitable for tasks such as exploration of large traje...

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Bibliographic Details

Published in:	IEEE Pacific Visualization Symposium pp. 39 - 46
Main Authors:	Peysakhovich, Vsevolod, Hurter, Christophe, Telea, Alexandru
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2015
Subjects:	Aircraft Clutter I.3.3 [Computing Methodologies]: Computer Graphics-Picture/Image Generation I.3.6 [Computing Methodologies]: Computer Graphics-Methodology and Techniques Image edge detection Instruments Kernel Trajectory Visualization
ISSN:	2165-8765
Online Access:	Get full text
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