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    • 47. 发明授权
    • Method of detecting facial attributes
    • 面部属性检测方法
    • US08805018B2
    • 2014-08-12
    • US13997310
    • 2011-04-11
    • Jianguo LiTao WangYangzhou DuQiang Li
    • Jianguo LiTao WangYangzhou DuQiang Li
    • G06K9/00
    • G06K9/00228G06K9/00241G06K9/00281
    • Detection of a facial attribute such as a smile or gender in a human face in an image is performed by embodiments of the present invention in a computationally efficient manner. First, a face in the image is detected to produce a facial image. Facial landmarks are detected in the facial image. The facial image is aligned and normalized based on the detected facial landmarks to produce a normalized facial image. Local features from selected local regions are extracted from the normalized facial image. A facial attribute is predicted in each selected local region by inputting each selected local feature into a weak classifier having a multi-layer perceptron (MLP) structure. Finally, output data is aggregated from each weak classifier component to generate all indication that the facial attribute is detected in the facial image.
    • 通过本发明的实施例以计算上有效的方式来检测图像中的人脸中的笑脸或性别的面部属性。 首先,检测图像中的脸部以产生面部图像。 在面部图像中检测到面部地标。 基于检测到的面部地标对面部图像进行对准和归一化,以产生归一化的面部图像。 从标准化的面部图像中提取来自所选择的局部区域的局部特征。 通过将每个选定的局部特征输入到具有多层感知器(MLP)结构的弱分类器中,在每个选定的局部区域中预测面部属性。 最后,从每个弱分类器组件聚合输出数据,以产生在面部图像中检测到面部属性的所有指示。