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[XLC+05]  Automatic Generation of Artistic Chinese Calligraphy

Xu:2005:AGA (Article)
Author(s)Xu S., Lau F., Cheung W. and Pan Y.
Title« Automatic Generation of Artistic Chinese Calligraphy »
JournalIEEE Intelligent Systems
Volume20
Number3
Page(s)32--39
Year2005
URLhttp://doi.ieeecomputersociety.org/10.1109/MIS.2005.41

Abstract
This intelligent system can automatically generate new Chinese calligraphy artwork to meet visually aesthetic requirements. The system first extracts the hierarchical parametric representations of Chinese characters from input images of existing calligraphic style to form a compact set of training examples. The extraction results are stored in a small structural stroke database and then exploited to form a continuous calligraphy knowledge space. The space is spanned by character examples of different styles (knowledge sources), which are aggregated and aligned according to a proposed constraint-based analogous-reasoning process. By incorporating a set of simple, yet effective geometric constraints, this system can generate novel calligraphic styles that are aesthetically appealing. Samples of novel calligraphic art produced using the system demonstrate the approach's effectiveness.

BibTeX code
@article{Xu:2005:AGA,
  optpostscript = {},
  number = {3},
  month = {may/jun},
  author = {Songhua Xu and Francis Lau and William K. Cheung and Yunhe Pan},
  optkey = {},
  optannote = {},
  url = {http://doi.ieeecomputersociety.org/10.1109/MIS.2005.41},
  localfile = {papers/Xu.2005.AGA.pdf},
  optkeywords = {},
  doi = {http://dx.doi.org/10.1109/MIS.2005.41},
  optciteseer = {},
  journal = {IEEE Intelligent Systems},
  volume = {20},
  optwww = {},
  title = {{A}utomatic {G}eneration of {A}rtistic {C}hinese {C}alligraphy},
  abstract = {This intelligent system can automatically generate new Chinese
              calligraphy artwork to meet visually aesthetic requirements. The
              system first extracts the hierarchical parametric representations
              of Chinese characters from input images of existing calligraphic
              style to form a compact set of training examples. The extraction
              results are stored in a small structural stroke database and then
              exploited to form a continuous calligraphy knowledge space. The
              space is spanned by character examples of different styles
              (knowledge sources), which are aggregated and aligned according to
              a proposed constraint-based analogous-reasoning process. By
              incorporating a set of simple, yet effective geometric
              constraints, this system can generate novel calligraphic styles
              that are aesthetically appealing. Samples of novel calligraphic
              art produced using the system demonstrate the approach's
              effectiveness.},
  pages = {32--39},
  year = {2005},
}

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