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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29527


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9404
RBF Based Face Recognition and Expression Analysis
Abstract:
Facial recognition and expression analysis is rapidly becoming an area of intense interest in computer science and humancomputer interaction design communities. The most expressive way humans display emotions is through facial expressions. In this paper skin and non-skin pixels were separated. Face regions were extracted from the detected skin regions. Facial expressions are analyzed from facial images by applying Gabor wavelet transform (GWT) and Discrete Cosine Transform (DCT) on face images. Radial Basis Function (RBF) Network is used to identify the person and to classify the facial expressions. Our method reliably works even with faces, which carry heavy expressions.
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References:

[1] Bai-Ling Zhang,Haihong Zhang and Shuzhi Sam Ge "Face Recognition by Applying Wavelet Subband Representation and Kernel Associative Memmory IEEE Transactions on Neural Networks,Vol 15,NO 1,January 2004,pp 166-177.
[2] Sami Romdhani, Shaogang Gong and Alexandra psarrou,"A Multi-view Nonlinear Active Shape Model using Kernel PCA, BMVC99
[3] Tsuyoshi Moriyama, Takeo Kanade, Jing Xiao and Jeffrey F. Cohn" Meticulously Detailed Eye region Model and It-s Application to Analysis of Facial Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.28, No.5, May 2006.
[4] Chellappa.R, Wilson.C and Sirohey.S, "Human and machine recognition of faces: A Survey" In Proc.IEEE, 83(5): 1995, 705-740.
[5] Hichem Sahbi, Nozha, Boueimma, Tistarelli, J. Bigun, A.K.Jain (Eds), and "Biometric Authentication"LNCS2539, Springer Verlag Berlin Heidelberg 2002, pp: 112-120.
[6] Stefano Arca, Paola Campadelli, Raffaella anzarotti "An Automatic Feature based Face recognition system".
[7] Hui Li, Hui Lin and Guang Yang," A New Facial Expression Analysis System Based on Warp Images", Proc. of Sixth World Congress on Intelligent Control and Automation, Dalian, China, 2006
[8] Turk. M,Pentland A "Face Recognition using Eigen Faces", In Proc. of IEEE conference on Computer Vision and Pattern Recognition",1991,pages:586-591.
[9] Y.Kosaka,K.Kotani,"Facial Expression Analysis by Kernal Eigen Space Method based on Class Features (KEMC) Using Non-Linear Basis For Separation of Expression Classes "International Conference on Image Processing (ICIP)2004.
[10] Hong-Bo Deng, Lian-Wen Jin, Li-Xin Zhen, Ian-Cheng Huang,"A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA",International Journal of Information Technology Vol.11,No.11.2005.
[11] Marian Stewrt Bartlett, Javier R, Movellan and Terrence J Seinowski,"Face Recognition by Independent Component Analysis", IEEE Transactions on Neural Networks, Vol.113, No.6, November 2002.
[12] Michael J. Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba,"Coding Facial Expressions with Gabor Wavelets",Proceedings, Third IEEE International Conference on Automatic Face and Gesture Recognition, April 14-16 1998, Nara Japan, IEEE Computer Society, pp. 200-205.
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