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Three-dimensional animated face modeling from stereo video

机译:立体视频中的三维动画人脸建模

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3D modeling of human face has been an active research topic in computer vision and computer graphics communities. In this paper we develop a face-modeling system from calibrated stereo video input. The stereo configuration is chosen according to the characteristics of the face structure. For data capturing the subject sits in front of the calibrated stereo video cameras and rotates his/her head from front view to side view. Then we can create his/her 3D face model with realistic texture mapped, which is ready for MPEG-4 compatible facial animation, by adapting a generic wireframe model to the input. In deciding 3D face geometry we utilize two kinds of 2D information. One is the correspondence between stereo pair; the other is self-occluded contour. After some 3D points in the specific face are obtained from both image clues in different frames, RBF (Radius Basis Function) data interpolation is performed to decide its shape. Afterwards texture image is generated from the face geometry and video. Experiments show that satisfactory results can be reached with our system.
机译:人脸的3D建模一直是计算机视觉和计算机图形学界的活跃研究主题。在本文中,我们从校准的立体声视频输入中开发了人脸建模系统。根据面部结构的特征选择立体声配置。为了获取数据,被摄对象坐在经过校准的立体摄像机的前面,并将其头部从正视图旋转到侧视图。然后,我们可以通过将通用线框模型适应输入,来创建具有逼真的纹理映射的3D人脸模型,从而准备好与MPEG-4兼容的人脸动画。在确定3D人脸几何形状时,我们利用两种2D信息。一是立体声对之间的对应关系;二是立体声对之间的对应关系。另一个是自封闭轮廓。从不同帧中的两个图像线索中获得特定面部的一些3D点之后,将执行RBF(半径基础函数)数据插值来确定其形状。然后,从面部几何结构和视频生成纹理图像。实验表明,使用我们的系统可以达到令人满意的结果。

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