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A Fully Automatic Approach to Facial Feature Tracking Based on Image Registration

机译:基于图像配准的面部特征跟踪的全自动方法

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This paper presents a real time, fully automatic facial feature detection and tracking approach. The head pose and facial action is tracked by a modified Candide 3D wireframe model based on an improved image registration technique. An effective model shape and position initialization method is also proposed. Experimental results demonstrate that our system is accurate, robust and fast enough for common applications, even when there are great pose and expression variations.
机译:本文呈现实时,全自动面部特征检测和跟踪方法。基于改进的图像配准技术,通过修改的坎普德3D线框模型跟踪头部姿势和面部动作。还提出了一种有效的模型形状和位置初始化方法。实验结果表明,即使存在巨大的姿势和表达变化,我们的系统也是准确,鲁棒,足够快,足以满足普通应用。

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