@mastersthesis{Kolliopoulos:2005:ISS,
www = {http://www.dgp.toronto.edu/~alexk/segnpr.html},
month = apr,
author = {Alexander Kolliopoulos},
optkey = {},
optannote = {},
opttype = {},
url = {http://www.cs.toronto.edu/DCS/Grad/Theses/04-05MSc.html#04-05alexk@dgp},
abstract = {This thesis approaches the problem of non-photorealistic rendering
by identifying segments in the image plane and filling them using
algorithms to render in artistic styles. Using segments as a 2D
primitive for non-photorealistic styles is a natural extension of
techniques artists often implicitly employ for purposes such as
abstraction of unnecessary detail. The problem of segmenting an
arbitrary 3D scene in a 2D view using geometric scene information
is presented, and a solution based on spectral clustering is
proposed. With an acceleration technique, segmentation can be
performed in near real-time for interactive, artistic
environments. This approach is automatic beyond the setting of
segmentation parameters by a user, and it can be extended to
temporally coherent non-photorealistic animation by segmenting
adjacent frames together. A number of artistic rendering styles
are applied within this segmentation framework to demonstrate the
effects that such a system makes possible.},
title = {{I}mage {S}egmentation for {S}tylized {N}on-{P}hotorealistic
{R}endering and {A}nimation},
school = {University of Toronto, Department of Computer Science},
address = {Canada},
localfile = {papers/Kolliopoulos.2005.ISS.pdf},
year = {2005},
}
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