@article{Kasao:2006:APN,
optpostscript = {},
number = {1},
month = jan,
author = {Atsushi Kasao and Kazunori Miyata},
optkey = {},
optannote = {},
localfile = {papers/Kasao.2006.APN.pdf},
optkeywords = {},
doi = {http://dx.doi.org/10.1007/s00371-005-0353-8},
optciteseer = {},
journal = j-TVC,
opturl = {},
volume = {22},
optwww = {},
title = {{A}lgorithmic {P}ainter: {A} {NPR} {M}ethod to {G}enerate {V}arious
{S}tyles of {P}ainting},
abstract = {This paper proposes Algorithmic Painter, an algorithm that can
produce various styles of painting from source photos. Algorithmic
Painter is created by enhancing Synergistic Image Creator, a
painterly rendering method, so that it is highly expressive but
still preserves the essential characteristics of the source photo.
To achieve this, our method extracts three types of image segments
automatically from a source photo by a newly proposed
classification method: edge areas, homogeneous areas, and highly
contrastive areas. Next, each obtained image segment is converted
into a brushstroke. Finally, the target picture is rendered by
assigning a color to each pixel. Furthermore, this method can
control the curvy shapes of brushstrokes, so that the obtained
image can incorporate not only various artistic touches but also
natural touches. As an example, the paper describes the
composition technique for three considerably different painting
styles.},
pages = {14--27},
year = {2006},
}
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