GENERATING NEW STYLES OF CHINESE STROKES BASED ON STATISTICAL MODEL
Abstract
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.
Keywords:
figurative thinking, Principal Components Analysis, Bezier curveDetails
- Issue
- Vol. 11 No. 1-2 (2007)
- Section
- Research article
- Published
- 2007-06-30
- Licencja:
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This work is licensed under a Creative Commons Attribution 4.0 International License.