CAJ | 학술논문

通过学习有限的输入字帖,实时全自动地独立创作出风格迥异的书法作品是计算机艺术仿真研究领域中的一个重要方向.提出了一种结合模糊支持向量机(FSVM)的曲线类比学习算法,能够根据用户设定的参数生成各种风格的书法作品.首先将字帖图像转换为层次化的笔画结构模型,通过FSVM检索骨架结构相似点的序列进而对其进行曲线类比与演化,最后经过处理选择得到新风格的字体.仿真实验结果表明,基于FSVM的曲线类比算法能根据输入的不同风格书法图像和用户的参数设定生成大量新颖的书法风格.
통과학습유한적수입자첩,실시전자동지독립창작출풍격형이적서법작품시계산궤예술방진연구영역중적일개중요방향.제출료일충결합모호지지향량궤(FSVM)적곡선류비학습산법,능구근거용호설정적삼수생성각충풍격적서법작품.수선장자첩도상전환위층차화적필화결구모형,통과FSVM검색골가결구상사점적서렬진이대기진행곡선류비여연화,최후경과처리선택득도신풍격적자체.방진실험결과표명,기우FSVM적곡선류비산법능근거수입적불동풍격서법도상화용호적삼수설정생성대량신영적서법풍격.
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 by user's definition. 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 provides 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 the generation of quantity of novel calligraphy styles, which can be manipulated by the user defined setting and input characters styles.