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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Vydáno v:Computer graphics forum Ročník 27; číslo 7; s. 1773 - 1780
Hlavní autoři: Kang, Henry, Lee, Seungyong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.10.2008
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ISSN:0167-7055, 1467-8659
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Shrnutí: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.
Bibliografie:ArticleID:CGF1322
istex:F139BA2CF81DC0385EBD538184393DC53119B704
ark:/67375/WNG-CH062QTP-2
leesy@postech.ac.kr
kang@cs.umsl.edu
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2008.01322.x