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Issue No. 02 - Mar.-Apr. (2017 vol. 37)
ISSN: 0272-1716
pp: 31-41
Philip A. Legg , University of the West of England
Eamonn Maguire , CERN European Laboratory for Particle Physics
Simon Walton , University of Oxford
Min Chen , University of Oxford
In many spatial and temporal visualization applications, glyphs provide an effective means for encoding multivariate data. However, because glyphs are typically small, they are vulnerable to various perceptual errors. This article introduces the concept of a quasi-Hamming distance in the context of glyph design and examines the feasibility of estimating the quasi-Hamming distance between a pair of glyphs and the minimal Hamming distance for a glyph set. The authors demonstrate the design concept by developing a file-system event visualization that can depict the activities of multiple users.
Visualization, Object recognition, Liquefied natural gas, Hamming distance

P. A. Legg, E. Maguire, S. Walton and M. Chen, "Glyph Visualization: A Fail-Safe Design Scheme Based on Quasi-Hamming Distances," in IEEE Computer Graphics and Applications, vol. 37, no. 2, pp. 31-41, 2017.
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