Automatic generation of artistic chinese calligraphy

Authors:
Songhua Xu;Francis C. M. Lau;Kwok-Wai Cheung;Yunhe Pan
Affiliations:
CAD & CG State Key Lab of China, Zhejiang University and Department of Computer Science & Information Systems, The University of Hong Kong;Department of Computer Science & Information Systems, The University of Hong Kong;Department of Computer Science, Hong Kong Baptist University;CAD & CG State Key Lab of China, Zhejiang University
Venue:
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Year:
2004

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Abstract

We introduce a novel intelligent system which can generate new Chinese calligraphic artwork that meets certain aesthetic requirements automatically. In the machine learning phase, parametric representations of existent calligraphic artwork are derived from input images of calligraphy. Using a six-level hierarchical representation, the acquired knowledge is organized as a small structural stroke database, which is then exploited by a constraint-based analogous reasoning component to create artwork in new styles. A set of geometric constraints is proposed and incorporated into the system for rejecting the aesthetically unacceptable results. The combination of knowledge from various input sources creates a huge space for the intelligent system to explore and produce new calligraphy.