探讨了三维散乱数据点的自由曲面自组织重构方法。
The approach to the freeform surface self-organizing reconstruction for the dense 3d scattered data was discussed.
实验表明该算法能够快速准确的提取三维散乱数据点的边界点。
The experiment result illustrate that the algorithm can extract the boundary points more efficient and exactly.
在反求工程中，基于散乱数据点的曲线重建研究有着重要的意义。
The study of curve reconstruction based on unorganized data points has great importance in reverse engineering.
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。
This paper will present a method to make the triangular interpolating surface based on scattered data points of remote image.
三维散乱数据点的曲面重构技术是逆向工程中非常重要的研究课题之一。
Surface reconstruction of unorganized 3D points is one of the most important research problems on reverse engineering.
实现这一方法的关键就是对人体曲面上的散乱数据点进行有效的三角剖分。
The key of applying this new method was the effective triangular subdivision of mass data point of human body model.
为了实现有效的三角剖分，采用了基于空间体的散乱数据点的三角剖分技术。
In order to perform effective triangulation, the technology of tetrahedron-based triangulation of scattered dada was adopted.
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。
This paper summarizes the technology of surface reconstruction from three-dimensional scattered data points. Some typical methods are introduced in detail.
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。
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.
针对基于快速原型制造的逆向工程散乱数据点云，提出了一种先加权中值滤波，再小波分析滤波的新降噪方法。
The paper introduces an effective weighed- median filter and wave- let analysis filtering based on the discrete data dots- clouds of reverse engineering of the rapid prototyping manufacturing.
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。
The triangular interpolating surface construction based on scattered data points has extensive applications in CAD/CAM, scientific visualization, image processing.
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。
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。
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.
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