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    • 5. 发明申请
    • METHOD AND SYSTEM TO SEGMENT DEPTH IMAGES AND TO DETECT SHAPES IN THREE-DIMENSIONALLY ACQUIRED DATA
    • 分割深度图像并在三维数据中检测形状的方法和系统
    • US20110311101A1
    • 2011-12-22
    • US13219349
    • 2011-08-26
    • Abbes RafiiSalih Burak Gokturk
    • Abbes RafiiSalih Burak Gokturk
    • G06K9/00
    • G06T7/0081G06K9/00201G06T7/11G06T7/136G06T2207/10028G06T2207/30261
    • A method and system analyzes data acquired by image systems to more rapidly identify objects of interest in the data. In one embodiment, z-depth data are segmented such that neighboring image pixels having similar z-depths are given a common label. Blobs, or groups of pixels with a same label, may be defined to correspond to different objects. Blobs preferably are modeled as primitives to more rapidly identify objects in the acquired image. In some embodiments, a modified connected component analysis is carried out where image pixels are pre-grouped into regions of different depth values preferably using a depth value histogram. The histogram is divided into regions and image cluster centers are determined. A depth group value image containing blobs is obtained, with each pixel being assigned to one of the depth groups.
    • 一种方法和系统分析由图像系统获取的数据,以更快速地识别数据中感兴趣的对象。 在一个实施例中,z深度数据被分割,使得具有相似z深度的相邻图像像素被给予公共标签。 具有相同标签的Blob或像素组可以被定义为对应于不同的对象。 Blob优选地被建模为基元以更快速地识别所获取的图像中的对象。 在一些实施例中,执行修改的连接分量分析,其中图像像素优选地使用深度值直方图被预分组成不同深度值的区域。 直方图被划分为区域,确定图像聚类中心。 获得包含斑点的深度组值图像,其中每个像素被分配给深度组之一。