Flow-Based Image Abstraction

Flow-Based Image Abstraction
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DOI:
10.1109/tvcg.2008.81
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发表时间:
2009-01-01
影响因子:
5.2
通讯作者:
Chui, Charles K.
Chui, Charles K.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Kang, Henry;Lee, Seungyong;Chui, Charles K.

文献摘要

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我们提出了一个非真实感渲染技术,自动提供一个风格化的抽象的照片。我们的方法是基于形状/颜色过滤引导的向量场,描述了在图像中的显着特征的流动。这种基于流的过滤在特征增强和风格化方面显著提高了抽象性能。我们的方法简单,快速,易于实现。实验结果表明,我们的方法在生产风格和功能增强插图从照片的有效性。
We present a nonphotorealistic rendering technique that automatically delivers a stylized abstraction of a photograph. Our approach is based on shape/color filtering guided by a vector field that describes the flow of salient features in the image. This flow-based filtering significantly improves the abstraction performance in terms of feature enhancement and stylization. Our method is simple, fast, and easy to implement. Experimental results demonstrate the effectiveness of our method in producing stylistic and feature-enhancing illustrations from photographs.