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Color Theory and Modeling for Computer Graphics, Visualization, and
Multimedia Applications deals with color vision and visual
computing. This book provides an overview of the human visual
system with an emphasis on color vision and perception. The book
then goes on to discuss how human color vision and perception are
applied in several applications using computer-generated displays,
such as computer graphics and information and data visualization.
Color Theory and Modeling for Computer Graphics, Visualization, and
Multimedia Applications is suitable as a secondary text for a
graduate-level course on computer graphics, computer imaging, or
multimedia computing and as a reference for researchers and
practitioners developing computer graphics and multimedia
applications.
With the increase in the amount and dimensionality of scientific
data collected, new approaches to the design of displays of such
data have become essential. The designers of visual and auditory
displays of scientific data seek to harness perceptual processes
for data exploration. The general aim is to provide ways for raw
data, and the statistical and mathematical structures they
comprise, to "speak for themselves" and, thereby, enable scientists
to conduct exploratory, in addition to confirmatory analyses of
their data. The present primary approach via visualization depends
mainly on coding data as positions of visually distinguishable
elements in a two- or three- dimen sional euclidean space, e.g., as
discrete points comprising clusters in scatter-plot displays and as
patches comprising the hills and valleys of statistical surfaces.
These displays are immensely effective because the data are in a
form that evokes natural perceptual processing of the data into
impressions of the presence and spatial disposition of apparent
materials, objects, and structures in the viewers apparent physical
environment. The problem with this mode of display, however, is
that its perceptual potency is largeiy exhausted at dimension
three, while we increasingly face the need to explore data of much
greater dimensionality. The challenge posed for visualization
researchers is to develop new modes of display that can push the
dimensionality of data displays higher while retaining the kind of
perceptual potency needed for data exploration.
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