给出了一个新的散乱数据的曲面重建算法。
A novel algorithm for fitting surface reconstruction of unorganized data points is presented in this paper.
针对3维散乱数据场提出了一种表面重建算法。
To 3d scattered data, a novel algorithm for surface reconstruction is presented.
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.
给出了一个新的散乱数据的NURBS曲面重建算法。
A novel algorithm for NURBS surface reconstruction of unorganized points is presented in this paper.
数值计算实例说明该方法解决散乱数据插值问题的有效性。
Through a computation example, the method is proved to be available to solve the problems about interpolation of scattered data.
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.
三维散乱数据白面重构技术是复杂曲面测量几何造型系统的关键技术。
The technology on curved surface reconstruction from 3-d scattered data is the key technology of measure and geometric modeling systems for complicated curved surface.
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.
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。
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.
研究了在散乱数据的三角剖分后对所形成的空间三角形网格进行变形的具体操作算法。
The paper studies the main algorithm of morphing between spatial triangle meshes, which follows former articles of scatter data triangulation.
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.
本文主要研究了散乱数据的NURBS曲面重构和在重构网格基础上的后续数控加工路径规划问题。
NURBS surface reconstruction of scattered data and the following of path planning of NC process based on the reconstruction mesh are researched in this thesis.
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.
利用NURBS曲线的拟合技术实现了截面轮廓数据的精整，在此基础上，采用曲线间相容性处理实现了散乱数据的三角剖分算法。
The precision data of section contour is obtained by NURBS approximation. Based on which, the triangulation algorithm of scattered data is carried out through the disposal of NURBS compatibility.
利用NURBS曲线的拟合技术实现了截面轮廓数据的精整，在此基础上，采用曲线间相容性处理实现了散乱数据的三角剖分算法。
The precision data of section contour is obtained by NURBS approximation. Based on which, the triangulation algorithm of scattered data is carried out through the disposal of NURBS compatibility.
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