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Kinetic Visualization
Motion provides strong visual cues
for the perception of shape and depth, as demonstrated by cognitive scientists
and visual artists. In this project we present a novel visualization technique
-- kinetic visualization -- using particle systems to add supplemental motion
cues which can aid in the perception of shape and spatial relationships
of static objects. Based on a set of rules following
perceptual and physical principles, particles flowing over the surface of
an object not only bring out, but also attract attention to essential shape
information of the object that might not be readily visible with conventional
rendering that uses lighting and view changes.
Replacing still images with animations in this fashion,
we demonstrate with both surface and volumetric models in a video that in
many cases the resulting visualizations effectively enhance the perception
of three-dimensional shape and structure. The results of a preliminary user
study that we have conducted also show clear evidence that the supplemental
motion cues helped.
Below are few images from this project:
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Feature-Enhanced Visualization of Multidimensional, Multivariate Volume
Data Using Non-photorealistic Rendering Techniques
In this project, we present a set
of feature enhancement techniques coupled with hardware-accelerated non-photorealistic
rendering for generating more perceptually effective visualization of multidimensional,
multivariate volume data, such as those obtained from typical computational
fluid dynamics simulations. For time-invariant
data, one or more variables are used to either highlight important features
in another variable, or add contextural information to the visualization.
For time-varying data, rendering of each
time step also takes into account the values at neighboring time steps to
reinforce the perception of the changing features in the data over time. With
hardware-accelerated rendering, interactive visualization becomes possible
leading to increased explorability and comprehension of the data.
Below are few images from this project:
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