The Community for Technology Leaders
RSS Icon
Issue No.03 - May-June (2012 vol.27)
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.
intelligent system for art, Chinese calligraphy, esthetic computing, intelligent CAD
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
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.
38 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool