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1. 发明申请

WO2017113260A8 THREE-DIMENSIONAL POINT CLOUD MODEL RE-ESTABLISHMENT METHOD AND APPARATUS 审中-公开
标题翻译：三维点云模型重建方法和设备
公开(公告)号：WO2017113260A8
公开(公告)日：2017-08-10
申请号：PCT/CN2015100005
申请日：2015-12-30
申请人： SHENZHEN INST OF ADV TECH CAS
发明人： HUANG HUI , WU SHIHAO , GONG MINGLUN , ZWICKER MATTHIAS , COHEN-OR DANIEL
IPC分类号： G06T17/00
CPC分类号： G06T17/00 , G06T5/002 , G06T7/20 , G06T7/60 , G06T13/40 , G06T2207/10028 , G06T2210/56
摘要： Provided are a three-dimensional point cloud model re-establishment method and apparatus. The method comprises: 1) performing sampling and WLPO optimization on an input point set to generate an initial surface point set, copying the initial surface point set as an initial position of an internal skeleton point set, and establishing a correlation between a surface point and a skeleton point; 2) moving a point in the internal skeleton point set inwards along a reverse direction of a normal vector thereof to generate an internal point; 3) solving an optimization problem of the internal point using various adaptive anisotropic neighborhoods as regular items to generate the skeleton point; 4) using the skeleton point to optimize and complement the initial surface point set so as to generate an optimized surface point; and 5) re-establishing a three-dimensional point cloud model according to the skeleton point, the surface point and the correlation between the surface point and the skeleton point.
摘要翻译：提供了一种三维点云模型重建方法和装置。该方法包括：1）对输入点集合进行采样和WLPO优化以产生初始表面点集合，将初始表面点集合复制为内部骨架点集合的初始位置，并建立表面点与骨架点; 2）沿着其法向矢量的相反方向向内移动设置在内部骨架点中的点以产生内部点; 3）用各种自适应各向异性邻域作为常规项求解内点的优化问题以生成骨架点; 4）利用骨架点对初始表面点集合进行优化和补充，从而生成优化的表面点; 以及5）根据骨架点，表面点以及表面点与骨架点之间的相关性来重新建立三维点云模型。

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