This paper will present a method to make the triangular interpolating surface based on scattered data points of remote image.
本文介绍一种基于遥感图像散乱数据点的三角曲面片插值构造方法。
In view of above question, this article presents a new method to construct interpolated surface to the scattered data points.
针对上述问题，该论文提出了一种构造插值曲面的新方法。
The method for interpolation is feasible just at the condition of that the number of the given scattered data points is not too big;
插值方法限制给定数据点个数不是太大时是可行的；
This paper summarizes the technology of surface reconstruction from three-dimensional scattered data points. Some typical methods are introduced in detail.
笔者总结了从三维散乱数据点集重建物体曲面的技术，重点介绍了其中的一些典型方法。
The triangular interpolating surface construction based on scattered data points has extensive applications in CAD/CAM, scientific visualization, image processing.
基于散乱数据点集构造三角插值曲面的方法，在CAD/CAM、科学计算可视化、图像处理等领域有着广泛的应用。
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。
After establishing the topology relationship of scattered points, the mesh surface model of point data is reconstructed by triangulation.
建立了散乱点云数据之间的拓扑信息，对点云数据进行三角剖分重构网格曲面模型。
Measurement of 3d object to obtain its scattered points cloud data is the foundation of surface reconstruction.
散乱点云数据的测量是三维物体曲面重建的前提和基础。
Measurement of 3d object to obtain its scattered points cloud data is the foundation of surface reconstruction.
散乱点云数据的测量是三维物体曲面重建的前提和基础。
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