Shape-simplifying Image Abstraction
Shape-simplifying Image Abstraction
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DOI：
10.1111/j.1467-8659.2008.01322.x
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发表时间：
2008-10-01
影响因子：
2.5
通讯作者：
Lee, Seungyong
中科院分区：
文献类型：
--
作者：
Kang, Henry;Lee, Seungyong
本文提出了一种用于生成照片风格抽象的简单算法。基于平均曲率流与冲击滤波器相结合，我们的方法同时简化了形状和颜色，同时保留了重要特征。特别是，我们开发了一种受约束的平均曲率流，它在传达特征和形状边界的方向性方面优于原始平均曲率流。所提出的算法是迭代和增量的，因此抽象级别是直观控制的。或者，可以将简单的用户屏蔽合并到算法中，以选择性地控制抽象速度并保护特定区域。实验结果表明，我们的方法有效地从照片中生成高度抽象但保留特征的插图。
This paper presents a simple algorithm for producing stylistic abstraction of a photograph. Based on mean curvature flow in conjunction with shock filter, our method simplifies both shapes and colors simultaneously while preserving important features. In particular, we develop a constrained mean curvature flow, which outperforms the original mean curvature flow in conveying the directionality of features and shape boundaries. The proposed algorithm is iterative and incremental, and therefore the level of abstraction is intuitively controlled. Optionally, simple user masking can be incorporated into the algorithm to selectively control the abstraction speed and to protect particular regions. Experimental results show that our method effectively produces highly abstract yet feature-preserving illustrations from photographs.