【摘要】 以激光－机器视觉测量方式得到的曲面数据云为基础，对曲面密集３维散乱数据用线性逼近进行三角形网格拟合。根据激光测量方式和３维点群分布的特点，应用八叉树空间分割原理，对密集散乱点群采用空间分区存储，建立八叉树拓扑关系，加快几何建模速度。文中介绍了用欧几里德最小生成树对微切平面法矢方向进行调整的方法以及曲面三角形网格逼近的ＭａｒｃｈｉｎｇＣｕｂｅ方法。更多还原

【Abstract】 Based on data cloud, which is measured from curved surface by laser-machine-vision system(LMVS), the principle of linear approximation is applied in fitting triangular meshes on dense scattered points of curved surface in this paper According to the way of LMVS and the distributive feature of 3D scattered points and by using of the principle of octree space division, the space occupied by the dense scattered points is divided The octree topology relation is generated, therefore the speed is improved for geometry modeling The Euclidean Minimum Spanning Tree (EMST) is adopted to consistent tangent plane orientation, and the method of Marching Cube for approximating curved surface with triangular meshes is also introduced in this paper更多还原