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Mathematics



Investigators from Research Laboratory Target Geometry


  2012 APR 24 - (VerticalNews.com) -- According to the authors of recent research published in the journal IEEE Transactions on Visualization and Computer Graphics, "This paper presents a 2D flow visualization user study that we conducted using new methodologies to increase the objectiveness. We evaluated grid-based variable-size arrows, evenly spaced streamlines, and line integral convolution (LIC) variants (basic, oriented, and enhanced versions) coupled with a colorwheel and/or rainbow color map, which are representative of many geometry-based and texture-based techniques."

  "To reduce data-related bias, template-based explicit flow synthesis was used to create a wide variety of symmetric flows with similar topological complexity. To suppress task-related bias, pattern-based implicit task design was employed, addressing critical point recognition, critical point classification, and symmetric pattern categorization. In addition, variable-duration and fixed-duration measurement schemes were utilized for lightweight precision-critical and heavyweight judgment-intensive flow analysis tasks, respectively, to record visualization effectiveness. We eliminated outliers and used the Ryan REGWQ post-hoc homogeneous subset tests in statistical analysis to obtain reliable findings. Our study shows that a texture-based dense representation with accentuated flow streaks, such as enhanced LIC, enables intuitive perception of the flow, while a geometry-based integral representation with uniform density control, such as evenly spaced streamlines, may exploit visual interpolation to facilitate mental reconstruction of the flow," wrote Z.P. Liu and colleagues, Research Laboratory.

  The researchers concluded: "It is also shown that inappropriate color mapping (e.g., colorwheel) may add distractions to a flow representation."

  Liu and colleagues published their study in IEEE Transactions on Visualization and Computer Graphics (A 2D Flow Visualization User Study Using Explicit Flow Synthesis and Implicit Task Design. IEEE Transactions on Visualization and Computer Graphics, 2012;18(5):783-796).

  For additional information, contact Z.P. Liu, USA, Res Lab, Aberdeen, MD 21001, United States.

  The publisher's contact information for the journal IEEE Transactions on Visualization and Computer Graphics is: Ieee Computer Soc, 10662 Los Vaqueros Circle, PO Box 3014, Los Alamitos, CA 90720-1314, USA.

  Keywords: City:Aberdeen, State:Maryland, Country:United States, Region:North and Central America, Mathematics

  This article was prepared by VerticalNews Mathematics editors from staff and other reports. Copyright 2012, VerticalNews Mathematics via VerticalNews.com.

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