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THREE-DIMENSIONAL POINT CLOUD MODEL RECONSTRUCTION METHOD, COMPUTER READABLE STORAGE MEDIUM AND DEVICE

机译:三维点云模型重建方法,计算机可读存储介质和设备

摘要

The present disclosure provides a three-dimensional point cloud model reconstruction method, a computer readable storage medium and a device. The method comprises: 1) sampling and WLOP-consolidating an input point set to generate an initial surface point set, copying the initial surface point set as an initial position of an interior skeleton point set, to establish a correspondence relation between surface points and skeleton points; 2) moving points in the interior skeleton point set inwards along a direction opposite to a normal vector thereof, to generate interior points; 3) using a self-adaptive anisotropic neighborhood as a regularization term to perform an optimization of the interior points, and generating skeleton points; 4) performing a consolidation and completion of the initial surface point set using the skeleton points, to generate consolidated surface points; 5) reconstructing a three-dimensional point cloud model according to the skeleton points, the surface points and the correspondence relation between the surface points and the skeleton points.
机译:本公开提供了三维点云模型重建方法,计算机可读存储介质和设备。该方法包括:1)对输入点集进行采样和WLOP合并,生成初始表面点集,将初始表面点集复制为内部骨架点集的初始位置,以建立表面点与骨架之间的对应关系。点2)沿与其法线向量相反的方向向内设置的内部骨架点中的移动点产生内部点; 3)使用自适应各向异性邻域作为正则化项对内部点进行优化,并生成骨架点; 4)使用骨架点对初始表面点集进行合并和完成,以生成合并的表面点; 5)根据骨架点,表面点以及表面点与骨架点之间的对应关系重建三维点云模型。

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