Statistical facial feature extraction method
    2.
    发明授权
    Statistical facial feature extraction method 失效
    统计面部特征提取方法

    公开(公告)号:US07372981B2

    公开(公告)日:2008-05-13

    申请号:US10720198

    申请日:2003-11-25

    CPC classification number: G06K9/00268

    Abstract: A statistical facial feature extraction method is disclosed. In a training phase, N training face images are respectively labeled n feature points located in n different blocks to form N feature vectors. Next, a principal component analysis (PCA) technique is used to obtain a statistical face shape model after aligning each shape vector with a reference shape vector. In an executing phase, initial positions for desired facial features are firstly guessed according to the coordinates of the mean shape for aligned training face images obtained in the training phase, and k candidates are respectively labeled in n search ranges corresponding to above-mentioned initial positions to obtain kn different combinations of test shape vectors. Finally, coordinates of the test shape vector having the best similarity with the mean shape for aligned training face image and the statistical face shape model are assigned as facial features of the test face image.

    Abstract translation: 公开了统计面部特征提取方法。 在训练阶段,N个训练面部图像分别标记在n个不同块中的n个特征点,以形成N个特征向量。 接下来,使用主成分分析(PCA)技术在将每个形状向量与参考形状向量对齐之后获得统计面部形状模型。 在执行阶段,首先根据在训练阶段获得的对齐训练面部图像的平均形状的坐标来猜测所需面部特征的初始位置,并且将k个候选分别标记在与上述初始位置对应的n个搜索范围内 以获得测试形状向量的不同组合。 最后,将具有与对准的训练面部图像的平均形状和统计面部形状模型最相似的测试形状向量的坐标分配为测试面部图像的面部特征。

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