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dc.contributor.authorKim, Dongyeonen_US
dc.contributor.authorSon, Minjungen_US
dc.contributor.authorLee, Yunjinen_US
dc.contributor.authorKang, Henryen_US
dc.contributor.authorLee, Seungyongen_US
dc.date.accessioned2015-02-21T17:06:18Z
dc.date.available2015-02-21T17:06:18Z
dc.date.issued2008en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2008.01259.xen_US
dc.description.abstractThis paper presents an automatic method for producing stipple renderings from photographs, following the style of professional hedcut illustrations. For effective depiction of image features, we introduce a novel dot placement algorithm which adapts stipple dots to the local shapes. The core idea is to guide the dot placement along feature flow extracted from the feature lines, resulting in a dot distribution that conforms to feature shapes. The sizes of dots are adaptively determined from the input image for proper tone representation. Experimental results show that such feature-guided stippling leads to the production of stylistic and feature-emphasizing dot illustrations.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleFeature-guided Image Stipplingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.description.number4en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01259.xen_US
dc.identifier.pages1209-1216en_US


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