In this paper, we first polygonize the scattered data points, then estimate the normal vector and curvature of each point using the local presentation of data points.
首先对获得的散乱数据点云进行多边形化，然后根据数据点局部表示对每点的法矢和曲率进行估算。
It gets the plane scattered data points through selecting the local extremum points on the remote image, and then triangulates, constructs the triangular interpolating surface on it.
该方法通过在遥感图像上选取局部极值点来构成平面散乱数据点集，并在此基础上进行三角剖分、优化和三角插值曲面构造。
By introducing the concept of coordinate correlation, those random and scattered coordinate points were correlated as an organic whole via physical and logical relations.
引入坐标关联的概念，将那些无序、零散的坐标点用物理、逻辑关系关联起来，使之成为有机的整体。
The foundation of geometry topology relation between points each other and being many redundancy data are two great difficulties in the process of reconstruction of scattered data.
散乱数据重建存在点与点之间几何拓扑关系建立困难和存在大量冗余数据两大难点。
To deal with scattered measured points effectively and exactly, an improved algorithm of region growing was presented.
为高效精确处理散乱点云数据，改进了区域生长算法。
This paper designs a software interface, it takes 3d scattered points as input and triangle mesh as output.
本文通过设计一个软件界面，输入三维散乱点的集合，输出为由三角网格组成的物体的表面。
This paper designs a software interface, it takes 3d scattered points as input and triangle mesh as output.
本文通过设计一个软件界面，输入三维散乱点的集合，输出为由三角网格组成的物体的表面。
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