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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.

has been cited by the following article:

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

  AUTHORS: Liying Lang, Zuntao Hu

  KEYWORDS: Adaboost Multi-Expression Classification Algorithm, Local Feature, Feature Extraction, Sample Training

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.4, November 16, 2011

  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.