基于曲线类比的中国书法新风格生成

Jie Chen, Ya-hui Ma
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引用次数: 1

摘要

通过对各种汉字图像样本的学习,自动同步生成新的中国书法风格是计算机艺术模拟中的一个关键问题。提出了一种基于FSVM的曲线类比方法,可以根据用户的约束样式参数生成新的书法样式。首先,将输入的字符图像样本转换成分层笔画结构模型;其次,利用FSVM检索各种骨架结构中的匹配点,为曲线类比过程提供控制参数;最后,将新骨架重构为书法文字。初步实验表明,该方法的有效性得到了验证,新字体数量的生成可以通过用户的参数设置和输入字体样式进行控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Chinese Calligraphy Style Generation Based on Curve Analogy
By learning the various character image samples, the automatic and synchronistic generation of new Chinese calligraphy styles is a key problem in the computer artistic simulating. A curve analogy method based on FSVM is proposed which can generate new calligraphy styles with the user's constraining styles'parameters. Firstly, the input character image samples are transferred into a hierarchical stroke structural model .Secondly, the matching points in the various skeleton structure are retrieved with FSVM,which provide the control parameter of the curve analogy process. Lastly, the new skeletons are reconstructed into the calligraphy characters. The efficiency of our approach is manifested by the preliminary experiment with generation of quantity of novel calligraphy styles,which can be manipulated by the user's parameters' setting and input characters styles.
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