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Point cloud data identity estimation device and point cloud data identity estimation system

机译:点云数据标识估计设备和点云数据标识估计系统

摘要

PROBLEM TO BE SOLVED: To provide a point cloud data identity estimation device and a point cloud data identity estimation system for improving the accuracy of evaluation of identity of information related to point cloud data. SOLUTION: This is a point group data identity estimation device that estimates the identity of an object that is the source of two three-dimensional point group data, and is a first point group data and a second point composed of three-dimensional point group data. Input the point group data acquisition unit that acquires the group data, the first neural network that inputs the information about the first point group data and outputs the first point group data feature amount, and the information about the second point group data. Based on the second neural network that outputs the second point group data feature amount, the first point group data feature amount, and the second point group data feature amount, the first point group data and the second point group It has an identity evaluation unit that outputs an evaluation of data identity, and the first neural network and the second neural network share weights with each other. [Selection diagram] Fig. 1
机译:要解决的问题:提供点云数据标识估计设备和点云数据标识估计系统,用于提高与点云数据相关的信息的标识评估的准确性。解决方案:这是一个点组数据标识估计设备,其估计是两个三维点组数据的源的对象的标识,并且是由三维点组数据组成的第一点组数据和第二点。输入获取组数据的点组数据采集单元,第一神经网络输入关于第一点组数据的信息并输出第一点组数据特征量,以及关于第二点组数据的信息。基于输出第二点组数据特征量的第二神经网络,第一点组数据特征量和第二点组数据特征量,第一点组数据和第二点组具有身份评估单元输出数据标识的评估,以及第一神经网络和第二神经网络彼此共享权重。 [选择图]图1

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