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The success of the deep learning and specifically learning layer by layer led to many impressive results in several contexts that include neural network. This gave us the idea to apply this principle of learning on wavelet network because it is an active research topic at the moment. This paper present our approach for image classification by the combination of two techniques of learning: the wavelet...
Face emotion recognition is one of the most important and rapidly advanced active research areas of computer science. A new method for facial expression recognition based on wavelet network classifier is proposed in this paper. It allows us the detection of six basic emotions other than the neutral one: (Joy, surprise, sadness, anger, fear and disgust) The process is composed of three principle steps:...
The complexity of human face expressions makes its information duplication difficult. A studied approach that combines different 3D facial recognition algorithms could overcome the weak information that is recovered from each algorithm individually. In this paper, it is shown that 3D face recognition subjected to facial expression is improved by combining three different algorithms. The results generated...
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