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http://dx.doi.org/10.9708/jksci.2011.16.10.093

Face and Its Components Extraction of Animation Characters Based on Dominant Colors  

Jang, Seok-Woo (Dept. of Digital Media, Anyang University)
Shin, Hyun-Min (School of Computing, Soongsil University)
Kim, Gye-Young (School of Computing, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.10, 2011 , pp. 93-100 More about this Journal
Abstract
The necessity of research on extracting information of face and facial components in animation characters have been increasing since they can effectively express the emotion and personality of characters. In this paper, we introduce a method to extract face and facial components of animation characters by defining a mesh model adequate for characters and by using dominant colors. The suggested algorithm first generates a mesh model for animation characters, and extracts dominant colors for face and facial components by adapting the mesh model to the face of a model character. Then, using the dominant colors, we extract candidate areas of the face and facial components from input images and verify if the extracted areas are real face or facial components by means of color similarity measure. The experimental results show that our method can reliably detect face and facial components of animation characters.
Keywords
Dominant Color; Animation Character; Facial Component; Mesh Model; Feature Point;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 S. Kiranyaz, M. Birinci, M. Gabbouj, "Perceptual Color Descriptor based on Spatial Distribution: A Top-Down Approach," Image and Vision Computing, Vol. 28, No. 8, pp. 1309-1326, 2010.   DOI   ScienceOn
2 B.S. Manjunath, J.-R. Ohm, V.V. Vasudevan, and A. Yamada, "Color and Texture Descriptors," IEEE Transactions on Circuits and Systems for Video Technology, Vol. 11, No. 6, pp. 703-715, 2001.   DOI   ScienceOn
3 R. Min and H.D. Cheng, "Effective Image Retrieval Using Dominant Color Descriptor and Fuzzy Support Vector Machine," Pattern Recognition, Vol. 42, No. 1, pp. 147-157, 2009.   DOI   ScienceOn
4 H.-J. Kang, K-H. Lee, "Realtime Object Extraction and Tracking System for Moving Object Monitoring," Journal of The Korea Society of Computer and Information, Vol. 10, No. 2, pp. 59- 68, 2005.
5 A.-N. Ansari and M. Abdel-Mottaleb, "Automatic Facial Feature Extraction and 3D Face Modeling Using Two Orthogonal Views with Application to 3D Face Recognition," Pattern Recognition, Vol. 38, No. 12, pp. 2549-2563, 2005.   DOI   ScienceOn
6 L. Yin, L. Yin, and M. Yourst, "3D Face Recognition based on High-Resolution 3D Face Modeling from Frontal and Profile View," In Proceedings of the ACM SIGMM Workshop on Biometrics Methods and Applications, pp. 1-8, 2003.
7 T. C. Chang, T. S. Huang, and C. Novak, "Facial Feature Extraction from Color Images," In Proceedings of the IEEE International Conference on Pattern Recognition, Vol. 2, pp. 39-43, 1994.
8 G. Gordon, "Face Recognition from Frontal and Profile Views," In Proceedings of the International Workshop on Automatic Face and Gesture Recognition, pp. 47-52, 1995.
9 J. Zhu, S.C.H. Hoi, E. Yau, M.R. Lyu, "Automatic 3D Face Modeling Using 2D Active Appearance Models," In Proceedings of the 13th Pacific Conference on Computer Graphics and Applications, 2005.
10 S.-W. Jang, S.-H. Weon, and H.-I. Choi, "Estimation of 3D Rotation Information of Animation Character Face," Journal of The Korea Society of Computer and Information, Vol. 16, No. 8, 2011.   DOI
11 H. Wu, Q. Chen, and M. Yachida, "An Application of Fuzzy Theory: Face Detection," In Proceedings of the International Workshop on Automatic Face and Gesture Recognition, pp. 314-319, 1995.