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[KM+06]  Algorithmic Painter: A NPR Method to Generate Various Styles of Painting

Kasao:2006:APN (Article)
Author(s)Kasao A. and Miyata K.
Title« Algorithmic Painter: A NPR Method to Generate Various Styles of Painting »
JournalThe Visual Computer
Volume22
Number1
Page(s)14--27
Year2006

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.

BibTeX code
@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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