摘要
为了从书法汉字图像重建其动态笔画书写过程,提出一种书法临摹过程的交互式动画建模方法.首先收集几种典型的真实笔触样本,通过统计建模的方法构建一个新的毛笔笔触模型;然后借助数位板,通过书法图像交互获得汉字的笔锋运动轨迹;再结合书法经验知识计算每个笔锋轨迹点的笔触形状,得到笔触变化的时间序列,生成汉字书写动画.实验结果表明,该方法适合不同字体风格汉字的书写动画生成,能广泛地应用于涉及汉字书写动画制作的影视传媒等数字媒体应用领域.
This paper presents a novel approach for interactively recovering dynamic writing processes from static Chinese calligraphy images.After collecting some ink samples from real calligraphic works,we first propose a statistic-based method to model the footprints between brush bundles and the paper.Using pen input devices,we then propose an efficient method for generating stroke trajectories from Chinese character images.Finally,we reconstruct a writing animation by calculating footprint series along given stroke trajectories.The proposed method has many potential applications,such as Chinese character teaching and digital media applications.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2014年第6期963-972,共10页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(60903129)
数字出版技术国家重点实验室开放课题
关键词
书法
动画
虚拟毛笔
笔触模型
笔锋运动轨迹
Chinese calligraphic
animation
virtual brush
footprint
stroke trajectory motion