OBJECT DETECTION IN IMAGES
    1.
    发明申请
    OBJECT DETECTION IN IMAGES 有权
    图像中的对象检测

    公开(公告)号:US20160224868A1

    公开(公告)日:2016-08-04

    申请号:US14996063

    申请日:2016-01-14

    Applicant: YAHOO! INC.

    Abstract: In an embodiment, a method comprises obtaining a frequency domain representation associated with an image; obtaining one or more frequency domain representations of one or more object detection filters; generating a composite frequency domain representation based on the frequency domain representation associated with the image and the one or more frequency domain representations of the one or more object detection filters; and detecting one or more objects in the image based on the composite frequency domain representation. The frequency domain representation associated with the image may be obtained based on a forward transform performed on an image feature description. The image feature description may be obtained based on a feature extraction performed on the image. The one or more frequency domain representations of the one or more object detection filters may be obtained based on one or more Fourier transforms performed on the one or more object detection filters.

    Abstract translation: 在一个实施例中,一种方法包括获得与图像相关联的频域表示; 获得一个或多个对象检测滤波器的一个或多个频域表示; 基于与所述图像相关联的频域表示和所述一个或多个对象检测滤波器的所述一个或多个频域表示来生成复合频域表示; 以及基于所述复合频域表示来检测所述图像中的一个或多个对象。 可以基于对图像特征描述执行的正向变换来获得与图像相关联的频域表示。 可以基于对图像执行的特征提取来获得图像特征描述。 可以基于对一个或多个对象检测滤波器执行的一个或多个傅里叶变换来获得一个或多个对象检测滤波器的一个或多个频域表示。

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