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System and method for improved scoring of 3D poses and spurious point removal in 3D image data

机译:用于改善3D姿势得分和3D图像数据中的虚假点去除的系统和方法

摘要

This invention provides a system and method for estimating match of a 3D alignment pose of a runtime 3D point cloud relative to a trained model 3D point cloud. It includes scoring a match of a candidate pose of the runtime 3D point cloud relative to the trained model 3D point cloud, including a visibility check that comprises (a) receiving a 3D camera optical center (b) receiving the trained model 3D point cloud; (c) receiving the runtime 3D point cloud; and (d) constructing a plurality of line segments from the optical center to a plurality of 3D points in the 3D point cloud at the runtime candidate pose. A system and method for determining an accurate representation of a 3D imaged object by omitting spurious points from a composite point cloud based on the presence or absence of such points in a given number of point clouds is also provided.
机译:本发明提供一种用于估计运行时间3D点云的3D对准姿势相对于训练模型3D点云的匹配的系统和方法。它包括对运行时3D点云相对于训练后的模型3D点云的候选姿态的匹配度进行评分,包括可见性检查,该可见性检查包括(a)接收3D摄像机光学中心;(b)接收训练后的模型3D点云; (c)接收运行时3D点云; (d)在运行时候选姿势处构造从光学中心到3D点云中的多个3D点的多个线段。还提供一种用于通过基于给定数量的点云中是否存在这样的点来从合成点云中省略虚假点来确定3D成像对象的准确表示的系统和方法。

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