The Study of Multi-Expression Classification Algorithm Based on Adaboost and Mutual Independent Feature

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DOI: 10.4236/jsip.2011.24038   PDF   HTML     4,017 Downloads   6,356 Views   Citations

Abstract

In the paper conventional Adaboost algorithm is improved and local features of face such as eyes and mouth are separated as mutual independent elements for facial feature extraction and classification. The multi-expression classification algorithm which is based on Adaboost and mutual independent feature is proposed. In order to effectively and quickly train threshold values of weak classifiers of features, Sample of training is carried out simple improvement. We obtain a good classification results through experiments.

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L. Lang and Z. Hu, "The Study of Multi-Expression Classification Algorithm Based on Adaboost and Mutual Independent Feature," Journal of Signal and Information Processing, Vol. 2 No. 4, 2011, pp. 270-273. doi: 10.4236/jsip.2011.24038.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] X. Z. Zhao and X. F. Zhu, “Adaboost Algorithm Based on Detection of the Human Eye of Sample Selection,” Computer Technology and Development, Vol. 20, No. 2, 2010, pp. 12-16.
[2] H. Y. Wang and X. Li, “Facial Expression Recognition Based on Improved Gabor Transformation and Adaboost Algorithm,” Journal of Liaoning University of Technology (Natural Science Edition), Vol. 30, No. 1, 2010.
[3] M. Qiao and Y. J. Chen, “Feature Extraction Methods on Facial Expression Recognition,” Journal of Chongqing Institute of Technology, Vol. 22, No. 6, 2008, pp. 118-122.
[4] G. L. Yang, Z. L. Wang and J. X. Ren, “Adaboost Algorithm Is Used for Facial Expression Recognition,” Computer Engineering, Vol. 25, No. 4, 2005, pp. 78-83.
[5] Y. Ma, X. Q. Ding and Z. E. Wang, “Robust Preciseeye Location under Probabilistic Framework,” Republic of Korea, Seoul, 2004, pp. 339-344.
[6] J. Zhao and L. A. Xu, “Target Detection Based on Adaboost Algorithm,” Computer Engineering, Vol. 30, No. 2, 2004, pp. 78-83.
[7] Y. Huang and Z. L. Ying, “Classifier Combination Based Expression Recognition,” Computer Engineering and Applications, Vol. 43, No. 25, 2007.
[8] P. S. Aleksic and A. K. Katsaggelos, “Automatic Facial Expression Recognition Using Facial Animation Parameters and Muhistream HMMs,” IEEE Transactions on Information Forensics and Security, Vol. 1, No. 1, 2006, pp. 3-11. doi:10.1109/TIFS.2005.863510

  
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