全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于自适应权值稀疏典型相关分析的人脸表情识别算法

Keywords: 人脸表情识别,稀疏典型相关分析,自适应

Full-Text   Cite this paper   Add to My Lib

Abstract:

为解决当变量个数较多时,典型相关分析方法不能给出一个稳定模型的问题,提出了一种基于自适应权值的稀疏典型相关分析的人脸表情识别方法.稀疏典型相关分析通过附加一个系数收敛的约束,使基向量中的某些系数收敛为0,因此,就能去掉一些对表情识别没有用处的变量.同时,由于通常的稀疏典型相关分析求解中,稀疏权值的选择是固定值,会产生一些误差,故利用自适应权值的方法来降低在求解稀疏典型向量时产生的误差.在Jaffe和Cohn-Kanade人脸表情数据库上的实验结果,进一步验证了该方法的正确性和有效性.

References

[1]  HARDOON D R,SZEDMARK S,SHAWE-TAYLOR J.Canonical correlation analysis:an overview with application to learning methods[J].Neural Computation,2004,16(12):2639-2664.
[2]  ZHENG Wen-ming,ZHOU Xiao-yan,CAI Rong-zou,et al.Facial expression recognition using kernel canonical correlation analysis(KCCA)[J].IEEE Trans Neural Networks,2006,17(1):233-238.
[3]  SUN Ning,JI Zhen-hai,CAI Rong-zou,et al.Twodimensional canonical correlation analysis and its application in small sample size face recognition[J].Neural Computing and Applications,2010,19(3):377-382.
[4]  LEE Sun Ho,CHOI Seungjin.Two-dimensional canonical correlation analysis[J].IEEE Signal Processing Letters,2007,14(10):735-738.
[5]  SUN Ting-kai,CHEN Song-can.Locality preserving CCA with applications to data visualization and pose estimation[J].Image and Vision Computing,2007,25(5):531-543.
[6]  HARDOON D R,SHAWE-TAYLOR J.Sparse canonical correlation analysis[J].Machine Learning,2011,83(3):331-353.
[7]  WIESEL A,KLIGER M,HERO A.A greedy approach to sparse canonical correlation analysis[J/OL]∥arXiv preprint arXiv:0801.2748[2008-01-17].http:∥arxiv.org/abs/0801.2748.
[8]  PARKHOMENKO E,TEITCHLER D,BEYENE J.Sparse canonical correlation analysis with application to genomic data integration[J].Statistical Applications in Genetics and Molecular Biology,2009,8:1-34.
[9]  SHEN H,HUANG J.Sparse principal component analysis via regularized low rank matrix approximation[J].Journal of Multivariate Analysis,2008,101:1015-1034.
[10]  YAN Jing-jie,ZHENG Wen-ming,ZHOU Xiao-yan,et al.Sparse 2-D canonical correlation analysis via low rank matrix approximation for feature extraction[J].IEEE Signal Process Lett,2012,19(1):51-54.
[11]  AHONEN T,HADID A,PIETIKINEN M.Face recognition with local binary patterns[C]∥European Conference on Computer Vision(ECCV).Berlin:Springer,2004:469-481.
[12]  KANADE T,COHN J F,TIAN Y.Comprehensive database for facial expression analysis[C]∥Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition.Piscataway:IEEE,2000:46-53.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133