Department of Computer Science
Automatic generation of artistic chinese calligraphy
Chinese calligraphy is among the finest and most important of all Chinese art forms and an inseparable part of Chinese history. Its delicate aesthetic effects are generally considered to be unique among all calligraphic arts. Its subtle power is integral to traditional Chinese painting. A novel intelligent system uses a constraint-based analogous-reasoning process to automatically generate original Chinese calligraphy that meets visually aesthetic requirements. We propose an intelligent system that can automatically create novel, aesthetically appealing Chinese calligraphy from a few training examples of existing calligraphic styles. To demonstrate the proposed methodology's feasibility, we have implemented a prototype system that automatically generates new Chinese calligraphic art from a small training set.
Art, Deformable models, Painting, Intelligent systems, Brushes, Prototypes, Shape control, History, Power generation, Hair, nonphotorealistic rendering, constraint-based reasoning, constraint handling, computer calligraphy, computer graphics, analogous reasoning, shape decomposition, hierarchical shape representation, constraint satisfaction
Source Publication Title
IEEE Intelligent Systems
Institute of Electrical and Electronics Engineers (IEEE)
Link to Publisher's Edition
Xu, Songhua, Francis C. M. Lau, William K. Cheung, and Yunhe Pan. "Automatic generation of artistic chinese calligraphy." IEEE Intelligent Systems 20.3 (2005): 32-39.