Facial expression recognition using kernel canonical correlation analysis (KCCA)

IEEE Transactions on Neural Networks
W ZhengLi Zhao

Abstract

In this correspondence, we address the facial expression recognition problem using kernel canonical correlation analysis (KCCA). Following the method proposed by Lyons et al. and Zhang et al., we manually locate 34 landmark points from each facial image and then convert these geometric points into a labeled graph (LG) vector using the Gabor wavelet transformation method to represent the facial features. On the other hand, for each training facial image, the semantic ratings describing the basic expressions are combined into a six-dimensional semantic expression vector. Learning the correlation between the LG vector and the semantic expression vector is performed by KCCA. According to this correlation, we estimate the associated semantic expression vector of a given test image and then perform the expression classification according to this estimated semantic expression vector. Moreover, we also propose an improved KCCA algorithm to tackle the singularity problem of the Gram matrix. The experimental results on the Japanese female facial expression database and the Ekman's "Pictures of Facial Affect" database illustrate the effectiveness of the proposed method.

References

Oct 14, 2000·Neural Computation·G Baudat, F Anouar
Feb 24, 2001·International Journal of Neural Systems·P L Lai, C Fyfe
May 8, 2004·Neural Computation·Wenming ZhengCairong Zou
Feb 2, 2008·IEEE Transactions on Neural Networks·Chengjun Liu, H Wechsler

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Citations

Jun 28, 2012·Sensors·Shiqing ZhangBicheng Lei
Nov 30, 2012·Computational Intelligence and Neuroscience·Si-Yao FuXin-Kai Kuai
Feb 7, 2007·IEEE Transactions on Neural Networks·Jianming LuTakashi Yahagi
Apr 9, 2008·IEEE Transactions on Neural Networks·H WangW Zheng
May 29, 2007·IEEE Transactions on Neural Networks·Chong Wang
Aug 24, 2010·IEEE Transactions on Neural Networks·Fei ChengHuilin Xiong
Nov 11, 2010·IEEE Transactions on Neural Networks·Hua Huang, Huiting He
Jun 14, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Sharath Chandra GuntukuIvor W Tsang
Dec 20, 2015·IEEE Transactions on Neural Networks and Learning Systems·Cemal Okan Sakar, Olcay Kursun
Apr 10, 2017·IEEE Transactions on Cybernetics·Ankita Mandal, Pradipta Maji
Aug 16, 2017·IEEE Transactions on Neural Networks and Learning Systems·Jingjing TangXiaohui Liu
May 6, 2021·Journal of Bioinformatics and Computational Biology·Lei WangShuaiqun Wang

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