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In this paper, we utilize 4D tensor structure to explore efficient structure information for 3D facial expression recognition. As a powerful tool to analyze multidimensional nonnegative tensor data, nonnegative tensor factorization (NTF) aims to obtain a partly localized representation of high-dimensional tensors. However, the NTF algorithms often suffer from both high computational complexity and...
3D facial expression recognition has been greatly promoted for overcoming the inherent drawbacks of 2D facial expression recognition and has achieved superior recognition accuracy to the 2D. In this paper, a novel holistic, full-automatic approach for 3D facial expression recognition is proposed. First, 3D face models are represented in 2D-image-like structure which makes it possible to take advantage...
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,...
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