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。
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。
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；
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。
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。
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。
As a key of airborne laser data processing, the filtering of point cloud has been an important prerequisite and research focus of data applications.
作为机载激光雷达数据处理的关键环节，激光雷达点云滤波一直是数据应用的重要前提和研究热点。
In addition, for the digitization of free surface object, the digitization strategy represents the powerful sampling capability of scanning line point cloud.
另外，对自由曲面的数字化展示了该数字化策略强大的扫描线点云采集能力。
Accordingly, the study of reconstruction for surface of point cloud data has also been received significant attention.
与此相应，对点云数据的曲面重构研究也引起了足够的重视。
After the objects are scanned the large number's original point cloud data of a great density will generate, and in which noise are randomly distributing.
物体经过扫描后，得到的大量原始点云数据一般密度很大，且其中随机分布着噪声数据。
The high precision and reliability of the reconstruction model are reached by increasing sample density of measuring point cloud.
通过增加点云的采样密度，提高重建模型的精度和可靠性。
The high precision and reliability of the reconstruction model are reached by increasing sample density of measuring point cloud.
通过增加点云的采样密度，提高重建模型的精度和可靠性。
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