基于流形的约束局部模型拟合

Fitting of constrained local model based on manifold

为了将人脸形状向量集的流形结构嵌入到人脸定位模型中,以人脸定位参数模型中典型的约束局部模型为基础展开研究。结合局部坐标编码理论和稀疏约束,将基于流形结构的邻近形状向量集代替点分布模型中的非刚性形变集,实现了流形学习中的局部切空间排列方法与点分布模型的融合,从而得到了一个流形嵌入的约束局部模型。经过在模拟数据、有标注的人脸部件数据库和有标注的人脸数据库的试验验证,与基于线性重建的局部约束模型拟合相比,嵌入流形结构的约束局部模型具有更好的性能。

For the sake of embedding the manifold of face shape vectors into the models of face alignment efficiently, the research was carried out based on the typical constraint local model in the face location parameter model.According to the theorem of local coordinate coding and sparse constrain,the non-rigid deformations were replaced by the adjacent facial shape vectors which were based on manifold of facial shapes.The local tangent space alignment in manifold learn-ing was mixed with the point distribution model,and a manifold embedded constrained local model was derived.The experimental verification on the toyed dataset and two public facial databases (i.e.labeled face parts in the wild and la-beled face in the wild)were fulfilled.Compared with linear reconstruction based on constrained local model method fit-ting,the manifold embedded constrained local model method had better accuracy.