To obtain the data of noncontact measurement of the human body, the depth camera is used to collect the human body, and the obtained initial data are transformed into the required point cloud data for processing through coordinate transformation, and then the collected three-dimensional point cloud data are preprocessed. The preprocessing includes point cloud downsampling, point cloud filtering, plane segmentation, outlier removal, point cloud surface estimation, and so forth. A new solution for point cloud filtering is proposed, which combines sliding least squares and unification and radius filtering. Compared with the traditional filtering, the effect is smoother, and finally the complete outline of the human body is obtained, and then the human body is measured. The results show that the human body data measured by this scheme is within the range of the relevant standard measurement accuracy.

中文翻译：

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基于人体点云数据的滤波与测量算法研究

获取人体非接触测量数据，利用深度相机采集人体，将获取的初始数据通过坐标变换转化为需要的点云数据进行处理，然后将采集到的三维点云数据经过预处理。预处理包括点云降采样、点云滤波、平面分割、异常值去除、点云表面估计等。提出了一种新的点云过滤解决方案，它结合了滑动最小二乘法和统一和半径过滤。相比传统的滤波，效果更平滑，最终得到完整的人体轮廓，然后进行人体测量。