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    • 8. 发明授权
    • Shadow detection method and device
    • 阴影检测方法和设备
    • US09142011B2
    • 2015-09-22
    • US14276053
    • 2014-05-13
    • Shengyin FanXin WangQian WangGang Qiao
    • Shengyin FanXin WangQian WangGang Qiao
    • G06T5/00G06T7/00
    • G06T5/008G06T7/11G06T7/194G06T2200/04G06T2207/10012G06T2207/10024G06T2207/30196G06T2207/30232
    • Disclosed are a shadow detection method and device. The method includes a step of obtaining a depth/disparity map and color/grayscale image from a two-lens camera or stereo camera; a step of detecting and acquiring plural foreground points; a step of projecting the acquired plural foreground points into a 3-dimensional coordinate system; a step of carrying out, in the 3-dimensional coordinate system, a clustering process with respect to the projected plural foreground points so as to divide the projected plural foreground points into one or more point clouds; a step of calculating density distribution of each of the one or more point clouds by adopting a principal component analysis algorithm so as to obtain one or more principal component values of the corresponding point cloud; and a step of determining, based on the one or more principal component values, whether the corresponding point cloud is a shadow.
    • 公开了一种阴影检测方法和装置。 该方法包括从双镜头相机或立体相机获取深度/视差图和彩色/灰度图像的步骤; 检测并获取多个前景点的步骤; 将所获取的多个前景点投影到三维坐标系中的步骤; 在三维坐标系中执行相对于投影的多个前景点的聚类处理,以将投影的多个前景点划分成一个或多个点云的步骤; 通过采用主成分分析算法计算一个或多个点云中的每一个点的密度分布以便获得对应点云的一个或多个主成分值的步骤; 以及基于所述一个或多个主成分值来确定对应的点云是否是阴影的步骤。