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Computationally Evaluating and Reproducing the Beauty of Chinese Calligraphy
May-June 2012 (vol. 27 no. 3)
pp. 63-72
Songhua Xu, Oak Ridge National Laboratory
Hao Jiang, University of Hong Kong
Francis C.M. Lau, University of Hong Kong
Yunhe Pan, Zhejiang University
Training a computer to evaluate the aesthetics of Chinese characters provides a feedback mechanism to improve the quality of automatically generated calligraphy.

1. A.M. Turing, “Computing Machinery and Intelligence,” Mind, vol. 59, 1950, pp. 433–460.
2. A. Shamir and A. Rappoport, “Compacting Oriental Fonts by Optimizing Parametric Elements,” The Visual Computer, vol. 15, no. 6, 1999, pp. 302–318.
3. S. Xu et al., “Automatic Generation of Artistic Chinese Calligraphy,” IEEE Intelligent Systems, vol. 20, no. 3, 2005, pp. 32–39.
4. C. Neusius and J. Olszewski, “A Noniterative Thinning Algorithm,” ACM Trans. Mathematical Software, vol. 20, no. 1, 1994, pp. 5–20.
5. J. Rocha and T. Pavlidis, “A Shape Analysis Model with Applications to a Character Recognition System,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 4, 1994, pp. 393–404.
6. M. van Eede et al., “Canonical Skeletons for Shape Matching,” Proc. Int'l Conf. Pattern Recognition, 2006, pp. 64–69.
1. S. Xu et al., “Automatic Generation of Artistic Chinese Calligraphy,” IEEE Intelligent Systems, vol. 20, no. 3, 2005, pp. 32–39.
2. C.-C. Han, C.-H. Chou, and C.-S. Wu, “An Interactive Grading and Learning System for Chinese Calligraphy,” Machine Vision and Applications, vol. 19, no. 1, 2008, pp. 43–55.
3. P.-K. Lai, D.-Y. Yeung, and M.-C. Pong, “Chinese Glyph Generation Using Character Composition and Beauty Evaluation Metrics,” Proc. Int'l. Conf. Computer Processing Oriental Languages, Chinese and Oriental Languages Society (COLCS), 1995, pp. 92–99.
4. T. Leyvand et al., “Data-Driven Enhancement of Facial Attractiveness,” Proc. Siggraph 2008, ACM, 2008; doi:10.1145/1399504.1360637.
5. S. Xu et al., “Automatic Generation of Chinese Calligraphic Writings with Style Imitation,” IEEE Intelligent Systems, vol. 24, no. 2, 2009, pp. 44–53.
6. P. McCorduck,Aaron's Code: Meta-Art, Artificial Intelligence and the Work of Harold Cohen, W.H. Freeman & Co., 1990.
7. D.E. Knuth, The Metafont Book, Addison-Wesley, 1986.

Index Terms:
intelligent system for art, Chinese calligraphy, esthetic computing, intelligent CAD
Citation:
Songhua Xu, Hao Jiang, Francis C.M. Lau, Yunhe Pan, "Computationally Evaluating and Reproducing the Beauty of Chinese Calligraphy," IEEE Intelligent Systems, vol. 27, no. 3, pp. 63-72, May-June 2012, doi:10.1109/MIS.2012.46
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