基于图像的非参数化采样印章生成

通过对一系列同一风格的样本印章的非参数化采样，由输入目标篆文自动生成相应的该风格印章．以子分笔画为基本单位，采用K近邻法使样本风格自然融入生成印章中．各子分笔画通过变半径圆形brush沿非均匀B样条曲线扫掠来拟合．提出了带约束逐层细分非均匀采样法来得到各插值型值点．文中算法简单明了，几何意义明显．实验结果证明可以生成逼真的指定风格的新作品．

Image-Based Chinese Seal Carving Generation with Non-parametric Sampling

By learning a training set of seal examples of the same style, the system can generate new seal carvings similar to this style through non parametric sampling Using K nearest neighbor algorithm, stroke branches are interpolated to produce output strokes by linear combination Each stroke branch is rendered by dragging a circular brush mask along a non uniform B spline curve interpolating the given sampling points A new sampling method is introduced to extract feature points from the similar strokes of seal examples through constrained hierarchical subdivision The algorithm is simple and comprehensible in geometry Experimental results show that this approach can generate satisfying new articles of the desired styles