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Most of the existing methods adopted in 3D facial expression recognition require manual-intervention, which should be avoided in automatic systems. In this paper, we propose an automatic data normalization method based on the point-to-point mapping between the depth value and the texture information of the facial data. Based on this, we further construct a new kind of 3D facial expression feature,...
Researches on 3D facial expression recognition have been extensively promoted in recent years, yet automatic 3D facial expression recognition is still a challenging problem. In this paper, we propose an easy-handled approach to address this problem and consequently improve its performance. In the approach, a 2D-image-like structure is utilized to represent the 3D models so that we can automatically...
A new automatic framework is proposed for face recognition and its superiority performance is justified by the FRGC v2 data. Adaboost face detecting method is used for facial region extraction. Then 2D and 3D facial representations which are extracted by the Dual-tree Complex Wavelet Transform (DT-CWT) are introduced to reflect the facial geometry properties in this paper. The level four high-frequency...
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