Shape-simplifying Image Abstraction

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dc.contributor.authorKang, Henryen_US
dc.contributor.authorLee, Seungyongen_US
dc.date.accessioned2015-02-21T17:59:48Z
dc.date.available2015-02-21T17:59:48Z
dc.date.issued2008en_US
dc.description.abstractThis 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.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01322.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1773-1780en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01322.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleShape-simplifying Image Abstractionen_US
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