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http://dx.doi.org/10.5391/JKIIS.2005.15.1.110

Face Detection for Automatic Avatar Creation by using Deformable Template and GA  

Park Tae-Young (중앙대학교 전자전기공학부)
Kwon Min-Su (중앙대학교 전자전기공학부)
Kang Hoon (중앙대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.1, 2005 , pp. 110-115 More about this Journal
Abstract
This paper proposes the method to detect contours of a face, eyes and a mouth in a color image for making an avatar automatically. First, we use the HSI color model to exclude the effect of various light condition, and we find skin regions in an input image by using the skin color is defined on HS-plane. And then, we use deformable templates and Genetic Algorithm(GA) to detect contours of a face, eyes and a mouth. Deformable templates consist of B-spline curves and control point vectors. Those can represent various shape of a face, eyes and a mouth. And GA is very useful search procedure based on the mechanics of natural selection and natural genetics. Second, an avatar is created automatically by using contours and Fuzzy C-means clustering(FCM). FCM is used to reduce the number of face color As a result, we could create avatars like handmade caricatures which can represent the user's identity, differing from ones generated by the existing methods.
Keywords
Face detection; Deformable Template; GA; B-spline curve; HSI color model; FCM; Avatar;
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