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Facial expression carries information about the emotional and physical state of a human being. In the past few years facial expression recognition has become a promising research area. With the developing robotic era the systems needs intelligence to understand human's behavior. Expression recognition is applied and useful from emoticons to disease detection in medical field. Apart from automated...
To overcome the weakness of the wavelet analysis which is unable to extract curve features of the face image, this paper applies a new multiscale geometric analysis tool - curvelet transform, for facial processing and feature extraction. A new approach based on curvelet transform and subband weighted fusion algorithm is proposed for face recognition. A novel method based on curvelet transform and...
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