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    Automatic Portrait Segmentation for Image Stylization

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    Date
    2016
    Author
    Shen, Xiaoyong
    Hertzmann, Aaron
    Jia, Jiaya
    Paris, Sylvain
    Price, Brian
    Shechtman, Eli
    Sachs, Ian
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    Abstract
    Portraiture 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.
    BibTeX
    @article {10.1111:cgf.12814,
    journal = {Computer Graphics Forum},
    title = {{Automatic Portrait Segmentation for Image Stylization}},
    author = {Shen, Xiaoyong and Hertzmann, Aaron and Jia, Jiaya and Paris, Sylvain and Price, Brian and Shechtman, Eli and Sachs, Ian},
    year = {2016},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12814}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12814
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    • 35-Issue 2
    • EG 2016 - Full Papers - CGF 35-Issue 2

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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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