Shape-simplifying Image Abstraction

This paper presents a simple algorithm for producing stylistic ion 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 f...

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Vydané v:Computer graphics forum Ročník 27; číslo 7; s. 1773 - 1780
Hlavní autori: Kang, Henry, Lee, Seungyong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.10.2008
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ISSN:0167-7055, 1467-8659
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Abstract This paper presents a simple algorithm for producing stylistic ion 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 ion is intuitively controlled. Optionally, simple user masking can be incorporated into the algorithm to selectively control the ion speed and to protect particular regions. Experimental results show that our method effectively produces highly yet feature‐preserving illustrations from photographs.
AbstractList 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.
This paper presents a simple algorithm for producing stylistic ion 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 ion is intuitively controlled. Optionally, simple user masking can be incorporated into the algorithm to selectively control the ion speed and to protect particular regions. Experimental results show that our method effectively produces highly yet feature‐preserving illustrations from photographs.
Author Kang, Henry
Lee, Seungyong
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  fullname: Lee, Seungyong
  organization: POSTECH, Korea
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Snippet This paper presents a simple algorithm for producing stylistic ion of a photograph. Based on mean curvature flow in conjunction with shock filter, our method...
This paper presents a simple algorithm for producing stylistic abstraction of a photograph. Based on mean curvature flow in conjunction with shock filter, our...
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I.3.3 [Picture/Image Generation]: Display algorithms
Title Shape-simplifying Image Abstraction
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