Plane scattered data triangulation has a wide application.
平面散乱点三角剖分在实践中有广泛应用。
To 3d scattered data, a novel algorithm for surface reconstruction is presented.
针对3维散乱数据场提出了一种表面重建算法。
A finite element method to reconstruct 3d surface from the scattered data is presented in the paper.
提出了一种基于散乱分布的数据点重构三维曲面的有限元方法。
An automatic code generation algorithm for three axes NC rough machining of scattered data is introduced.
介绍一种用于离散数据的三轴数控粗加工代码生成算法。
The approach to the freeform surface self-organizing reconstruction for the dense 3d scattered data was discussed.
探讨了三维散乱数据点的自由曲面自组织重构方法。
A method of automatic segmentation and surface reconstruction of scattered data in reverse engineering was presented.
提出了一种在反求工程中对散乱点云数据进行自动分割与曲面模型重构的方法。
Using the tree method partitions the unordered point data, so the geometric model of the scattered data is generated.
并通过树形的空间结构完成对密集散乱点群空间分割，由此实现对散乱点群数据的几何分割。
This article will introduce how we found it's regulation byprocessing a great number of scattered data with computer.
本文介绍通过计算机对大量的离散的数据的处理找到它的变化规律。
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。
Through a computation example, the method is proved to be available to solve the problems about interpolation of scattered data.
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。
Data mining strives to turn a lot of misinformation (in the form of scattered data) into useful information by creating models and rules.
数据挖掘就是通过创建模型和规则来将大量的不可用信息(通常是分散的数据形式)变成有用的信息。
Developers frequently require guidance when building JDBC code; bad JDBC code often results in having scattered data access code all over the place.
在构建JDBC代码时开发人员常常需要一些指导；差的JDBC代码往往使得到处都是数据访问代码。
In this paper, analyse the existed algorithms and put forward the method to make use of divide algorithm to realize plane scattered data triangulation.
文中在分析已有算法的基础上，提出利用分治算法实现平面散乱点三角剖分。
A parameterized spatial surface has been constructed from3 dimensional scattered data, and upon it the5 axis trace for laser processing can be laid out.
将三维离散数据点集拟合为空间参数曲面，在此参数曲面上规划五轴激光加工的等距轨迹。
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 method of planar region field density generation from collected scattered data and the color mapping methods of field density visualization were developed.
研究了从采集的离散点场强生成整个平面区域的场强的插值方法，及生成的场强数据可视化的颜色映射方法。
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.
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。
In the individual credit evaluation part, it quantifies all kinds of scattered data, and to improve BP algorithm it USES local self-adaptive study rate algorithm.
在个人信用评估部分中，对所有的离散数据进行量化处理，然后使用局部学习率自适应算法，对BP算法加以改进。
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。
However, measurement system can not link with 3d CAD system directly because the measured dense scattered data can not be processed effectively by 3d CAD software.
然而测量系统和三维CAD系统之间无法直接结合，因为测量得到的数据是海量散乱点，三维CAD无法对之进行高效处理。
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。
Introduced a method of NC machining tool-path generation based on scattered data model. a machining example was pointed out, proved this method simplicity and validity.
介绍了一种基于离散数据模型的数控加工刀具轨迹生成的方法。给出了一个加工实例，证明了此方法的简单性和有效性。
For surface reconstruction, the new adaptive extracting approach based on curvature of surface is developed so as to reconstruct the NURBS surface for the scattered data.
在曲面重构方面，提出基于曲面曲率的数据点自适应压缩方法，以实现对散乱点的NURBS曲面重构。
An efficient algorithm for implicit surface reconstruction for large-scale scattered data was proposed based on the combination of radial basis functions and partition of unity.
把径向基函数和单元分解原理综合起来，提出一种大规模散乱点云的隐式曲面快速重构算法。
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。
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。
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.
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。
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