Automatic Portrait Segmentation for Image Stylization
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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.
All Author(s) ListShen XY, Hertzmann A, Jia JY, Paris S, Price B, Shechtman E, Sachs I
Journal nameComputer Graphics Forum,Computer Graphics Forum
Detailed descriptionorganized by Eurographics Association,
Volume Number35
Issue Number2
Pages93 - 102
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Software Engineering

Last updated on 2021-16-01 at 00:22