首页 | 本学科首页   官方微博 | 高级检索  
     


Shape‐simplifying Image Abstraction
Authors:Henry Kang  Seungyong Lee
Affiliation:1. University of Missouri, St. Louis, USA;2. POSTECH, Korea
Abstract: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.
Keywords:I.3.3 [Picture/Image Generation]: Display algorithms
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号