RBF Based Face Recognition and Expression Analysis
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:58469", author = "Praseeda Lekshmi.V and Dr.M.Sasikumar", title = "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.", keywords = "Face Recognition, Radial Basis Function,Gabor Wavelet Transform, Discrete Cosine Transform", volume = "2", number = "6", pages = "1180-4", }