Automatic Portrait Segmentation for Image Stylization

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dc.contributor.authorShen, Xiaoyongen_US
dc.contributor.authorHertzmann, Aaronen_US
dc.contributor.authorJia, Jiayaen_US
dc.contributor.authorParis, Sylvainen_US
dc.contributor.authorPrice, Brianen_US
dc.contributor.authorShechtman, Elien_US
dc.contributor.authorSachs, Ianen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:37:17Z
dc.date.available2016-04-26T08:37:17Z
dc.date.issued2016en_US
dc.description.abstractPortraiture is a major art form in both photography and painting. In most instances, artists seek to make the subject stand out from its surrounding, for instance, by making it brighter or sharper. In the digital world, similar effects can be achieved by processing a portrait image with photographic or painterly filters that adapt to the semantics of the image. While many successful user-guided methods exist to delineate the subject, fully automatic techniques are lacking and yield unsatisfactory results. Our paper first addresses this problem by introducing a new automatic segmentation algorithm dedicated to portraits. We then build upon this result and describe several portrait filters that exploit our automatic segmentation algorithm to generate high-quality portraits.en_US
dc.description.number2en_US
dc.description.sectionheadersImage Editing & Processingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12814en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages093-102en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12814en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleAutomatic Portrait Segmentation for Image Stylizationen_US
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