它的具体含义是，把曲面分割成一个个小块。
Concretely what this means is I cut my surface into little pieces.
针对这种情况，提出一种基于曲面拟合的阈值曲面分割方法。
With regard to this situation, a segmentation method using threshold surface based on surface fitting is proposed.
实现的算法可以直接应用于数据挖掘、数字网格划分与评估、数据分割、数值地形曲面的简化等问题。
The algorithm can be directly applied to data mining, digital grid partitioning and estimation, data partitioning, digital terrain surface simplification, etc.
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。
A method of automatic segmentation and surface reconstruction of scattered data in reverse engineering was presented.
本文在总结曲面重建主流算法的基础上，对点云的边界检测问题进行了研究，提出了一种基于空间正规分割的边界检测新算法。
In this thesis we summarize the main approaches for surface reconstruction, study the problem of boundary detection for point clouds, and propose a new algorithm based on regular space subdivision.
对反求工程中的点云数据处理，给出一种基于特征的区域分割法来划分点云，为后续曲面拟合提供有利条件。
For dealing with the cloud data in reverse engineering, one region-division method which based on character is presented to divide up cloud data, this provides advantage to the later surface fitting.
几何与建筑美存在着密切关系，从比例分割、几何曲线、曲面等方面探寻了几何与建筑美的奇妙关系。
This paper discusses the close relation of geometry and architectural aesthetics in the aspects of ratio scale, geometric curved lines, geometric curved surfaces, etc.
随后论文研究了NURBS曲线曲面的分割算法，进而推导出NURBS三参数实体的离散方法。
The paper studies the tessellating algorithm of NURBS curve and surface, then puts forward the tessellating method of NURBS tri-parametric solids.
然后进行特征线提取，并以特征线为基础对曲面进行分割。
And then the contour lines were extracted and the surface based contour lines were segmented.
利用Z高度法效率高的优点，判断采样点是否超差；利用矢量分割法检测结果可靠性高的优点，求解沿着设计曲面的法矢方向以及采样点到刀具扫略体的距离（切削误差）。
By making use of Z depth efficiency in error judgement of sampling point and utilizing reliability of vector partition, it can define the cutting error on real time.
水平集方法应用于图象分割的曲线或曲面进化问题，是一种稳定有效的数值计算方法。
Level Set methods are robust and efficient numerical tools for resolving curve evolution in image segmentation.
水平集方法应用于图象分割的曲线或曲面进化问题，是一种稳定有效的数值计算方法。
Level Set methods are robust and efficient numerical tools for resolving curve evolution in image segmentation.
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