NDLI: Data-driven face cartoon stylization

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Data-driven face cartoon stylization

Content Provider	ACM Digital Library
Author	Deussen, Oliver Li, Ke Hu, Bao-Gang Dong, Weiming Zhang, Yong Huang, Feiyue
Abstract	This paper presents a data-driven framework for generating cartoon-like facial representations from a given portrait image. We solve our problem by an optimization that simultaneously considers a desired artistic style, image-cartoon relationships of facial components as well as automatic adjustment of the image composition. The stylization operation consists of two steps: a face parsing step to localize and extract facial components from the input image; a cartoon generation step to cartoonize the face according to the extracted information. The components of the cartoon are assembled from a database of stylized facial components. Quantifying the similarity between facial components of input and cartoon is done by image feature matching. We incorporate prior knowledge about photo-cartoon relationships and the optimal composition of cartoon facial components extracted from a set of cartoon faces to maintain a natural and attractive look of the results.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450328951
DOI	10.1145/2669024.2669028
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Face alignment Face stylization Face parsing
Content Type	Text
Resource Type	Article

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