@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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