Component-Based Cartoon Face Generation
AbstractIn this paper, we present a cartoon face generation method that stands on a component-based facial feature extraction approach. Given a frontal face image as an input, our proposed system has the following stages. First, face features are extracted using an extended Active Shape Model. Outlines of the components are locally modified using edge detection, template matching and Hermit interpolation. This modification enhances the diversity of output and accuracy of the component matching required for cartoon generation. Second, to bring cartoon-specific features such as shadows, highlights and, especially, stylish drawing, an array of various face photographs and corresponding hand-drawn cartoon faces are collected. These cartoon templates are automatically decomposed into cartoon components using our proposed method for parameterizing cartoon samples, which is fast and simple. Then, using shape matching methods, the appropriate cartoon component is selected and deformed to fit the input face. Finally, a cartoon face is rendered in a vector format using the rendering rules of the selected template. Experimental results demonstrate effectiveness of our approach in generating life-like cartoon faces. View Full-Text
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Sepehri Nejad, S.; Balafar, M.A. Component-Based Cartoon Face Generation. Electronics 2016, 5, 76.
Sepehri Nejad S, Balafar MA. Component-Based Cartoon Face Generation. Electronics. 2016; 5(4):76.Chicago/Turabian Style
Sepehri Nejad, Saman; Balafar, Mohammad A. 2016. "Component-Based Cartoon Face Generation." Electronics 5, no. 4: 76.
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