3d facial expression

Animating expressive facial animation is a very challenging topic within the graphics community. Through using the method of support vector regression SVR , the framework can learn and forecast the regression relationship between the facial animation parameters FAPs and the parameters of expression ratio image. Firstly, we build a 3D face animation system driven by FAP. Secondly, through using the method of principle component analysis PCA , we generate the parameter sets of eigen-ERI space, which will rebuild reasonable expression ratio image. Then we learn a model with the support vector regression mapping, and facial animation parameters can be synthesized quickly with the parameters of eigen-ERI. Finally, we implement our 3D face animation system driving by the result of FAP and it works effectively.
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25.02.2021
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A New Method of 3D Facial Expression Animation

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Use of 3D faces facilitates facial expression recognition in children | Scientific Reports

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. A 3D facial expression database for facial behavior research Abstract: Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. The 2D-based analysis is incapable of handing large pose variations. Although 3D modeling techniques have been extensively used for 3D face recognition and 3D face animation, barely any research on 3D facial expression recognition using 3D range data has been reported.
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3-Dimensional facial expression recognition in human using multi-points warping

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In this paper, we present a system for synthesizing 3D human face models containing different expressions from a single facial image. Given a frontal image of the target face with neutral expression, we first detect several key points denoting the shape of the face by Active Shape Model ASM. Then we apply a RBF-based scattered data interpolation to reconstruct a 3D target face using a neutral expression 3D face model as reference.
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