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Cases of physical and mental diseases caused by stress and negative emotions have increased annually. Many emotion recognition methods have been proposed. Facial expression is widely used for emotion recognition. However, since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. Nerve and Physiological responses are incontrollable native response...
This paper presents a method that can directly establish dense correspondences between 3D faces with arbitrary expressions and identities. We propose a re-sampling algorithm which uses a reference 3D face to re-sample target 3D faces under the guidance of radial basis function (RBF) network. The algorithm not only establishes dense correspondences between 3D faces, but also interpolates the regions...
This paper introduces a bilinear model to analyze and transfer expression or identity of 3D faces, and its applications in 3D and 2D areas. Our aim is to separate identity and expression factors of face data into two independent linear subspaces. First all the data are proceeded to have vertex-to-vertex correspondences. We build a morphable face model to transform these dense-vertex data into a low-dimension...
This paper proposes a method for acquiring face depth information directly from near infrared (NIR) images, using statistical learning. To perform such learning, ground truth NIR images and range data are captured. A method of alignment between the two image modalities is proposed. By constructing the low dimensional face subspaces of NIR images and depth maps, the raw data are projected into respective...
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