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METHOD FOR EXTRACTING ROBOT PROCESSING BOUNDARY OF THIN-WALLED PART WITH SMALL CURVATURE BASED ON THREE-DIMENSIONAL POINT CLOUD

机译:基于三维点云的小曲率提取薄壁部分机器人处理边界的方法

摘要

The disclosure discloses a method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud. The method includes: collecting point cloud data of a part to reduce density of the point cloud data, performing Euclidean cluster to divide into point cloud pieces, obtaining triangular mesh surfaces for each point cloud triangulation; extracting a boundary vertex of each triangular mesh surface to obtain a contour thereof, selecting a contour of the part among all contours; searching with each point on the contour as a center to form a three-dimensional boundary point cloud band; projecting the three-dimensional boundary point cloud band to a plane, orderly extracting two-dimensional boundary points within the plane, and arranging corresponding points in the three-dimensional boundary point cloud band according to an order of ordered boundary points within the plane to obtain ordered boundary points in the three-dimensional boundary point cloud band.
机译:本公开公开了一种基于三维点云的小曲率提取薄壁部分的边界的方法。该方法包括:收集部分的点云数据,以降低点云数据的密度,执行欧几里德集群分割成点云片,获得每个点云三角扫描的三角网格表面;提取每个三角形网格表面的边界顶点以获得其轮廓,选择所有轮廓中的一部分的轮廓;在轮廓上的每个点搜索作为形成三维边界点云带的中心;将三维边界点云带投射到平面,有序地提取平面内的二维边界点,并根据平面内的有序边界点的顺序排列三维边界点云带中的对应点三维边界点云带中的有序边界点。

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