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定位综述 目前用于人脸定位的有两种主流方法,一种是基于级联形状回归模型,另一种就是基于深度学习的方法。级联形状回归方法就是使用回归模型,直接学习从人脸表征到人脸形状的映射函数,进而建立从表观到形状的对应关系。这种方法的学习依赖于训练集的选取,如果训练集中包含了复杂的姿态变化,学习到的函数测试性能就会比较好。现有很多基于回归的方法,其中比较突出的有颜水成的DCR(Deep Cascaded Regression)、ESR(Explicitly Shape Regression)方法、LBF(Local Binary Features)方法以及SDM(Supervised Decent Method)方法。但是,上述方法也存在一定的问题,例如,基于提取到的局部图像特征来定位时很难找到具有全局信息
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