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FEATURE EXPRESSION DEVICE, RECOGNITION SYSTEM INCLUDING THE SAME, AND FEATURE EXPRESSION PROGRAM

机译:功能表达设备,包括该功能的识别系统以及功能表达程序

摘要

To provide a device, system and program to characterize representation in a form in which a load of recognition and learning is small.SOLUTION: A feature expression device 20 for character representation of three-dimensional point cloud data includes a distance field conversion unit 21 for converting a distance field representing the nearest neighbor distance φ(s) from a coordinates sof a spatial sample point s, s, s, and spatial sample point s to the nearest neighbor point, around which a set of points is set, a quasi-projection unit 22 for obtaining a conversion to a standard coordinate system by a singular value decomposition of a matrix M consisting of the coordinates s, s, sand the nearest distance φ(s) of the spatial sample point s, and a parameterization unit 23 to input the coordinates Lof the spatial sample points s converted to the standard coordinate system, and to output a weight β as a feature vector of three-dimensional point cloud data by training the extreme learning machine which outputs the nearest distance φ(s).SELECTED DRAWING: Figure 1
机译:为了提供一种以识别和学习的负担小的形式来表征表征的装置,系统和程序。解决方案:用于三维点云数据的表征的特征表达装置20包括用于成像的距离场转换单元21。将代表最接近邻居距离φ(s)的距离字段从空间采样点s,s,s和空间采样点s的坐标转换为最近的邻居点,围绕该点设置一组点,准投影单元22,用于通过矩阵M的奇异值分解获得到标准坐标系的转换,该矩阵M由坐标s,s,距离空间采样点s最近的距离φ(s)组成的砂,以及参数化单元23输入经转换为标准坐标系的空间样本点s的坐标L,并通过训练极限学习机输出权重β作为三维点云数据的特征向量输出最接近距离φ的正弦图。

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