@phdthesis{McKinley:2002:VVV,
month = sep,
optnote = {},
author = {Joanne L. McKinley},
optkey = {},
optannote = {},
opttype = {},
url = {http://etd.uwaterloo.ca/etd/jlmckinl2002.pdf},
abstract = {The rapid proliferation of 3D volume data, including MRI and CT
scans, is prompting the search within computer graphics for more
effective volume visualisation techniques. Partially because of
the traditional association with medical subjects, concepts
borrowed from the domain of scientific illustration show great
promise for enriching volume visualisation. This thesis describes
the first general system dedicated to creating user-directed,
variable-detail, scientific illustrations directly from volume
data. In particular, using volume segmentation for explicit
abstraction in non-photorealistic volume renderings is a new
concept. The unique challenges and opportunities of volume data
require rethinking many non-photorealistic algorithms that
traditionally operate on polygonal meshes. The resulting 2D images
are qualitatively different from but complementary to those
normally seen in computer graphics, and inspire an analysis of the
various artistic implications of volume models for scientific
illustration.},
title = {{V}olume {V}isualisation {V}ia {V}ariable-{D}etail
{N}on-{P}hotorealistic {I}llustration},
school = {University of Waterloo},
address = {Ontario, Canada},
localfile = {papers/McKinley.2002.VVV.pdf},
doi = {http://dx.doi.org/10012/1104},
year = {2002},
}
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