cloud point的例句大全

The algorithm first uses k-neighbor search and space division strategy, by identifying the trace point out to streamline the original point cloud, and then reverse the control point to reconstruct B-spline curve model.

该算法首先采用k-近邻搜索和空间划分的策略，通过确定跟踪点列对原始点云进行精简，然后通过反求控制点重构B样条曲线模型。

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The combined analysis of the weather map, satellite cloud picture and V 3 θ chart can not only reflect the southern frontal weather process clearly, but also increase the effect of the forecast of the frontal rainfall point and the rainfall volume and terminating time.

天气图、卫星云图和V-3θ图结合分析不仅能清晰反映锋面天气过程，而且能够提高降水落点、降水强度及降水结束时间的预测效果。

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Be different with obverse modeling method described in chapter 2nd, chapter 3rd introduces an application of freehand sketching applied in reverse engineering modeling: curves construction onto point cloud based on sketches.

和第二章手绘正向造型不同的是，第三章描述了手绘方法在逆向造型中的应用：点云表面曲线的手绘构建。

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The system adopts Microsoft Visual C++ 6.0 program language and OpenGL three-dimension graphics database as the tools, apply the face-object technique, realize that the point cloud data change into numerial-control code, finally, emulate the machining process of the shoe last.

本系统应用Microsoft visual C++6.0编程语言和OpenGL三维图形库，采用面向对象方法，实现了用点云数据计算生成可实用的数控NC代码，并对加工过程进行仿真。

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Developed a software platform and built a point cloud model database for the common household objects. 2.

搭建了软件平台，并构建了家庭中一些常见物体的点云模型数据库。

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Data segmentation that extracts the edges and partitions point cloud plays an important role in reverse engineering.

逆向工程中，数据分块是一个非常关键的环节。

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Several problems about data pre-processing were analyzed and solved considering the original scattered point cloud, and a new iterative algorithm based on point cloud slicing was proposed.

针对扫描点云杂乱无序的特点，讨论了点云数据预处理的问题，提出了一种新的基于点云切片的数据预处理迭代算法。

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On another side, compared to mesh models, the storage for point cloud models is much smaller.

另一方面，点云模型相比网格模型所占的存储空间少，但同样可以表现物体表面丰富的细节。

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The author has design the network platform of school-based teaching and research activities under Google cloud services, based on the fieldwork and requirements analysis, and knowledge sharing and exchange as the starting point.

接着在进行实地调查与需求分析的基础上，以知识的共享与交流为出发点，设计了Google云服务下的校本教研活动平台。

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A Random Filter Algorithm for Reducing Noise Error of Point Cloud Data

一种点云数据噪声点的随机滤波处理方法

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D Point Cloud Model Segmentation Based on K-means Cluster Analysis

基于K-means聚类方法的三维点云模型分割

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After the template and point cloud are matched, point cloud is sliced by some planes to acquire sectional data. Every plane of these planes is constructed by one theoretical edge point and its corresponding tangent vector.

配准模板与点云数据，根据匹配后模板中每一离散点及对应的切矢信息构建平面，利用其对点云数据切片获得二维截面数据。

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3D points are converted to images based on spherical polar coordinates, and point cloud surface information such as location, normal and color are stored in two-dimensional images.

本文通过球面极坐标将点云曲面的几何信息及表面属性信息映射到二维图象中去。

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Spherical Projection Based Triangulation for One Station Terrestrial Laser Scanning Point Cloud

基于球面投影的单站地面激光扫描点云构网方法

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However, the hugeness of point cloud data always is the important factor which restrict the development of data processing method. It is urgent needed to find a spatial index to manage point cloud.

然而，点云数据的海量性一直是制约点云数据处理方法的重要因素，迫切需要寻找一种高效空间索引方法来管理海量点云数据。

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we project the studied network into a measure space, with similar nodes assigned to close positions in the measure space, and topological patterns of the original network emerge from the produced data point cloud.

我们将待研究的网络依据一定的准则投影到测量空间，并且将网络中相似的节点投影在相近的位置，这样原网络的拓扑特征就可以从投影的数据点集中涌现出来。

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once your point cloud is free of obvious noise, you are ready to run the meshing steps to triangulate it.

一旦你的点云是显而易见的，无噪音，你就可以运行它三角啮合步骤。

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this method can triangulate the point cloud, reduce it and smooth it. finally can get the high-quality fitting curve.

该方法能有效地对点云数据进行三角剖分、精简、平滑去噪处理等操作，并能最终得到满足要求的拟合曲线。

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region segmentation of point cloud by man-computer interaction in ug

在UG中实现点云的交互区域分割

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through the parameterized design, the knowledge that embedded in model to ensure the surface can be automatically updated in optimization process, making the model match the point cloud data.

通过参数化的设计，将知识嵌入模型中，保证了曲面模型在优化过程中能实现自动更新，使模型与云点数据相匹配。

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