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...

Full description

Saved in:
Bibliographic Details
Published in:Computer graphics forum Vol. 27; no. 7; pp. 1773 - 1780
Main Authors: Kang, Henry, Lee, Seungyong
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.10.2008
Subjects:
ISSN:0167-7055, 1467-8659
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography: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
content type line 14
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2008.01322.x