This paper puts forward a triangulation algorithm used for space closed point-cloud.
提出了一种针对空间封闭点云的三角剖分算法。
The Faro arm moved around the object, capturing point-cloud data and depth information.
在法鲁手臂到处移动的对象，捕捉点云数据和深入的信息。
A new region-growing algorithm is presented for triangular mesh surface reconstruction from point-cloud data.
提出一种新的由点云数据生成三角网格曲面的区域增长算法。
The discrete point cloud data sampling from the striation figure is common.
采样于线状图形的离散点云数据也是常见的。
This paper proposes a geometry image representation based progressive transmission of point cloud surface on the network.
文章提出了基于几何图像表示的点云曲面网络渐进传输方法。
A region - growing algorithm was proposed to reconstruct triangular meshes unorganized point cloud.
提出一种对无规则点云进行三角网格重构的区域增长算法。
Point cloud morphing is a topic about how to transfer a source model into a target model smoothly.
点云模型渐变研究如何将一个源点云模型平滑的变化成目标点云模型。
Great amount time is needed to directly transmit the point cloud surfaces model with great amount data points.
由于数据量大，直接传输点云曲面需耗费大量传输时间。
The point cloud segmentation is an extremely essential step in the reverse model design. The segmentation results will affect the surface fitting and the CAD model reconstruction quality directly.
数据点云分块是逆向工程中一个非常关键的环节，测量数据的分块结果将直接影响到曲面拟合及CAD模型重建的质量。
This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model.
与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。
Read the LIDAR point cloud data, and can be displayed.
读取LIDAR的点云数据，并且可以显示出来。
On the base of the type of the point cloud, the author puts forward"T"method on the scan line data reduction, compares them with other methods of the data reduction.
鉴于激光测量机获取的扫描线点云数据类型特点，提出了T值法数据简化方法，并与其它几种数据简化方法进行了比较；
Results are shown in the end, which are dense point cloud.
最终结果以稠密点云的形式在文末显示。
A method of data preprocessing based on scattered point cloud was proposed.
提出了一种基于散乱点云的数据预处理方法。
Through the segmentation of the spatial box bounded by point cloud, efficient extraction of boundary information is implemented.
通过对点云数据进行空间三维划分，实现了边界信息的高效提取。
For the laser scanning data of a building fa? Ade, which is featured with huge amount of data and complex point cloud, it is difficult to extract building's feature information.
对于建筑物立面的激光扫描数据来说，具有数据量大，点云复杂等特点，提取建筑物特征信息具有一定难度。
This complicates the estimation of local point cloud 3D features.
这使得3D点云特征估计变得复杂。
A new modeling method for scattered point cloud is presented.
本文提出了一种散乱点云数据的建模新方法。
Airborne lidar point cloud filtering is the key of acquiring DSM and DEM with high precision.
机载激光点云数据滤波是获取高精度数字表面模型和数字高程模型的关键。
In this paper, point cloud getting theory, point cloud index method and point cloud filter method are concerned.
本文在点云获取理论、点云索引方法、点云滤波等方面进行了较为深入的研究。
Based on precisely matching of point cloud, this paper proposes an improved ICP algorithm.
针对点云精确匹配，提出一种改进的ICP算法。
Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.
通过建筑物三维激光扫描数据的采集，对基于ICP算法的点云数据配准过程进行了详细地分析。
Key of the data simplification technology is while at the same time of simplifying the data to reserve the original characteristics of point cloud data to the largest extent.
数据精简技术的关键是在精简数据的同时，最大限度地保留点云数据的原有特征。
Point-Based Rendering uses discrete and crowded point cloud to represent the surface of model, and it's goal is to reconstruct a continuous and equivalent surface from the point cloud.
基于点的绘制技术使用离散的三维密集点云来表征模型表面，目标是采用点元作为基本绘制单元在三维密集点云中重构出连续、视觉等价的模型表面。
Its point cloud could be transformed into mesh model by a series of computer software.
将其点云利用一系列的软件转换成三维网格模型。
Each point cloud or deformed object can have multiple forces applied to it. As well, you can have the same force applied to a number of point clouds or objects in a scene.
每个点云或者是可变形物体都能用多个力场影响以产生所需要的效果。
We addressed the problems and solutions of converting a measured point cloud into a realistic 3D polygonal model that can satisfy high modelling and visualization demands.
将三维扫描仪测量得到的点云转换成一个实际的3D（三维）多边形模型，以满足高级建模和可视化的需要。 为此提到了转换过程中出现的所有问题和解决方法。
The combined effects of various factors mainly reflected in the accuracy of point cloud data.
而各种因素的综合影响则主要反映在点云数据的精度上。
Using LS5000 3d laser scanner, we can acquire the point cloud data of the real actor's face.
利用LS 5000型三维激光扫描仪扫描真实演员人脸，可以得到其三维人脸点云数据。
Using LS5000 3d laser scanner, we can acquire the point cloud data of the real actor's face.
利用LS 5000型三维激光扫描仪扫描真实演员人脸，可以得到其三维人脸点云数据。
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