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Abstrakty
Chinese calligraphy is one of the most important Chinese arts: a form of entertainment as well as an embodiment of figurative thinking. In this paper, a statistical model-based approach to generating new styles of Chinese character strokes is proposed. Original calligraphy samples are aligned in a common co-ordinate frame and a training set consisting of landmarks is generated semi-automatically. The most significant features of the training set are extracted and a statistical model is built in order to generate strokes in new styles. The Bezier curve is used to fit the discrete contour data.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
129--136
Opis fizyczny
Bibliogr. 7 poz., rys.
Twórcy
autor
autor
- School of Information Science and Technology, East China Normal University, Shanghai, 200062, P. R. China, xumiao_l @yahoo.com.cn
Bibliografia
- [1] Dong J 2006 World Sci.-Technol. Res. Dev. 28 (3) 7 (in Chinese)
- [2] Xu S H, Lau F C M, Tang F and Pan Y H 2003 Computer Graphics Forum 22 533
- [3] Xu S H, Lau F C M, Cheung W K and Pan Y H 2005 IEEE Intell. Syst. 20 (3) 32
- [4] Dryden I L and Mardia K V 1998 Statistical Shape Analysis, New York John Wiley & Sons, London
- [5] Cootes T F and Taylor C J 2000 Statistical Models of Appearance for Computer Vision, Technical Report, University of Manchester http://www.isbe.man.ac.uk/~bim/Models/app_models.pdf
- [6] Ma X H, Pan Z G and Zhang F Y 1996 Chinese J. Computers 19 (2) 81 (in Chinese)
- [7] Hearn D and Baker M P 1997 Computer Graphics, 2nd Edition, Prentice Hall, New Jersey
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG4-0035-0055