摘要
为了以用户绘制的小块图案为样本,合成在视觉感受上与样本相近的大面积的新图案,提出一种结合局部和整体特征的手绘图案合成方法.首先提取样本中具有独立视觉意义的图案元素,然后分析图案样本的局部和整体特征,最后使用样本中的图案元素,并以这些特征作为参数来生成新的图案.实验结果表明,该方法所合成的图案在继承样本风格的同时,又不是样本图案的简单重复.与相关方法相比,文中方法较好地解决了手绘图案合成中仅考虑局部或整体特征的问题.
In this paper,a new method for the synthesis of stroke patterns is proposed,which considers both local and global features of an input stoke pattern.The proposed method takes a small pattern sketched by the user as an input sample.First the representative elements in the pattern image are extracted from the sample and clustered into classes.Then the local and global features of the sample are analyzed.Finally the clustered elements extracted from the sample are arranged based on these features to form large patterns perceptually similar to the input small sample.The experimental results show that the patterns synthesized by the proposed method inherit the style of the input sample and do not simply repeat the small sample.Compared with the related methods,the proposed method well solves the problem by utilizing both local or global features in the synthesis of stroke patterns.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2011年第1期144-151,共8页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(60903129
60975076)
福建省自然科学基金(F0910149)
关键词
人机交互
非真实感图形学
手绘图案
图案合成
遗传算法
human-computer interaction
NPR(non-photorealistic rendering)
stroke pattern
pattern synthesis
genetic algorithm