Facial expression estimation using simplified head model based on particle filtering
Facial expression estimation using simplified head model based on particle filtering
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基于粒子滤波的简化头部模型的面部表情估计
DOI：
10.1109/amc.2010.5464003
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Y. Mitsukura
中科院分区：
文献类型：
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作者：
Koichi Takahashi;H. Fukai;Y. Mitsukura
我们提出了一种不使用复杂的三维头部模型的头部姿态和面部表情的真实的时间估计方法。大多数用于头部姿态和面部表情估计的传统方法需要使用复杂的3D头部模型进行初步估计。然而，在所提出的方法中，为了估计面部表情，不需要大量的特征点和整个面部图像。所提出的方法估计头部姿势和面部表情的基础上简化的三维可变形的面部形状模型近似的圆柱形模型。为了证明该方法的有效性，我们进行了面部表情估计实验。
We propose a method for real time estimation of head poses and facial expressions without using a complex 3D head model. Most conventional methods for head pose and facial expression estimation required preliminary estimation using a complex 3D head model. In the proposed method, however, a large number of feature points and a whole facial image are not required in order to estimate facial expressions. The proposed method estimates the head pose and facial expression based on a simplified 3D deformable facial shape model approximated by a cylindrical model. In order to show the effectiveness of the proposed method, we performed facial expression estimation experiments.