Reducing scattering center data using multi-volume aggregation
    1.
    发明授权
    Reducing scattering center data using multi-volume aggregation 有权
    使用多体积聚集减少散射中心数据

    公开(公告)号:US07602332B1

    公开(公告)日:2009-10-13

    申请号:US12138814

    申请日:2008-06-13

    摘要: In one example, a method to reduce scattering centers (SC) includes receiving a set of SC data points associated with an object in three-dimensional space, partitioning the SC data points into a plurality of volumes, aggregating the SC data points within each volume based on an aggregate threshold and combining the aggregated SC data points associated with each volume to form a reduced set of SC data points. The method also includes comparing the reduced set of SC data points with the received set of SC data points to determine if the reduced set of SC data points meets a set of comparison metrics and if the reduced set of SC data points meets the set of comparison metrics, increasing the size of the volumes and performing another iteration of reducing the SC data points by volume.

    摘要翻译: 在一个示例中,减少散射中心(SC)的方法包括:接收与三维空间中的对象相关联的一组SC数据点,将SC数据点分割成多个卷,聚集每个卷内的SC数据点 基于聚合阈值并组合与每个卷相关联的聚合SC数据点以形成一组缩减的SC数据点。 该方法还包括将缩小的SC数据点集合与所接收的SC数据集合进行比较,以确定缩减的SC数据集合是否满足一组比较度量,以及如果缩减的SC数据集合满足该比较集合 度量,增加卷的大小,并执行按体积减少SC数据点的另一次迭代。