Publikation: Data-driven face cartoon stylization
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2014
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SIGGRAPH Asia 2014 Technical Briefs. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028
Zusammenfassung
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.
Zusammenfassung in einer weiteren Sprache
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004 Informatik
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Face stylization, face parsing, face alignment
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SIGGRAPH Asia 2014, 3. Dez. 2014 - 6. Dez. 2014, Shenzhen, China
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ZHANG, Yong, Weiming DONG, Oliver DEUSSEN, Feiyue HUANG, Ke LI, Bao-Gang HU, 2014. Data-driven face cartoon stylization. SIGGRAPH Asia 2014. Shenzhen, China, 3. Dez. 2014 - 6. Dez. 2014. In: SIGGRAPH Asia 2014 Technical Briefs. New York: ACM, 2014, 14. ISBN 978-1-4503-2895-1. Available under: doi: 10.1145/2669024.2669028BibTex
@inproceedings{Zhang2014Datad-30527,
year={2014},
doi={10.1145/2669024.2669028},
title={Data-driven face cartoon stylization},
isbn={978-1-4503-2895-1},
publisher={ACM},
address={New York},
booktitle={SIGGRAPH Asia 2014 Technical Briefs},
author={Zhang, Yong and Dong, Weiming and Deussen, Oliver and Huang, Feiyue and Li, Ke and Hu, Bao-Gang},
note={Article Number: 14}
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