【摘要】 提出了一种基于局部参数运动模型提取人脸表情运动参数的方法.对图像序列进行预处理,提取出能够体现表情的五官特征;用块匹配法跟踪了特征区域的关键点;基于特征点匹配结果和局部参数运动模型,建立特征区域的运动方程;通过非线性约束优化方法估计局部运动参数.实验结果表明,该方法可行有效.更多还原

【Abstract】 An approach to extracting motion parameters of facial expression based on local parameterized models is proposed in this paper.First,a set of image sequence is preprocessed,and the facial features which can reflect expression are extracted.Secondly,the method of block-match is used to track the critical feature points.Then,the affine motion equation based on the result of block-match and the local parameterized model is created.Finally,a nonlinear constraint optimization way is adopted to estimate the motion parameters.The experiment result demonstrates that the method is feasible.更多还原