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.
产品表面数据是计算机辅助应用的重要前提，研究了基于表面数据点集的产品CAM方法。
Surface data points are important for realizing products' computer-aided applications. CAM methods based on surface data point set are researched in this paper.
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。
A parameterized spatial surface has been constructed from3 dimensional scattered data, and upon it the5 axis trace for laser processing can be laid out.
该方法使用从环境数据中提取出的特征点来完成两组激光数据点集的匹配，进而完成环境地图的创建。
The map building method matched two consecutive scans according to the feature points extracted from the scans and then completed the whole map building.
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.
由于在这个数据集内的行数有限，因此可视化的功能显得没有有更多数据点(比如，有数百个)时那么功能强大。
Due to our limited number of rows in this data set, the visualization is not as powerful as it would be if there were more data points (in the hundreds, for example).
在饼图中，只在图表上表示单个数据集(每个数列中的第一个数据点)。
In a pie chart, only a single data set (the first data point in each series) is represented on the chart.
在公开数据集和人工数据集上的实验结果表明，DP算法能快速高效地找到接近于真实聚类中心的数据点作为初始聚类中心。
Experiments on both public and real datasets show that DP is helpful to find cluster centers near to real centers quickly and effectively.
AM算法能动态地捕捉并利用查询集空间分布特征，使得对数据点的搜索按正确的次序进行，避免对不必要数据点的搜索。
Am algorithm can dynamically capture and use the distribution characteristic of query set, which enables it to search data points in a right order, and avoid unnecessary searching to data points.
提出了基于最小能量约束的水平集重构方法，用以解决由三维数据点云自动重构复杂拓扑结构物体模型的问题。
A constrained energy minimization based on level set method for 3d reconstruction of object with complex topology is proposed.
提出了基于最小能量约束的水平集重构方法，用以解决由三维数据点云自动重构复杂拓扑结构物体模型的问题。
A constrained energy minimization based on level set method for 3d reconstruction of object with complex topology is proposed.
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