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    • 5. 发明申请
    • LANDMARK LOCALIZATION FOR FACIAL IMAGERY
    • 地面图像的LANDMARK本地化
    • US20120148160A1
    • 2012-06-14
    • US12832613
    • 2010-07-08
    • Gurumurthy SwaminathanSaad J. Bedros
    • Gurumurthy SwaminathanSaad J. Bedros
    • G06K9/46
    • G06K9/00281
    • A process and system for facial landmark detection of a face in a scene of an image includes determining face dimensions from the image, identifying regions of search for one or more facial landmarks using the face dimensions, and running a cascaded classifier and a strong classifier tailored to detect different types of facial landmarks to determine one or more respective locations of the facial landmarks. According to another example embodiment, the facial landmarks are used for face mining or face recognition, and the cascaded classifier is performed using a multi-staged AdaBoost classifier, where detections from multiple stages are utilized to enable the best location of the landmark. According to another example embodiment, the strong classifier is a support vector machine (SVM) classifier with input features processed by a principal component analysis (PCA) of the landmark subimage.
    • 用于面部地图检测图像场景中的面部的过程和系统包括从图像确定面部尺寸,使用面部尺寸识别搜索一个或多个面部地标的区域,以及运行级联分类器和强分类器 以检测不同类型的面部地标以确定面部地标的一个或多个相应的位置。 根据另一示例性实施例,面部地标用于面部挖掘或面部识别,并且使用多级AdaBoost分类器来执行级联分类器,其中利用来自多个级的检测来实现地标的最佳位置。 根据另一示例实施例,强分类器是具有由地标子图像的主成分分析(PCA)处理的输入特征的支持向量机(SVM)分类器。