不仅仅是云数据，也是计算云。
It will not just be a cloud of data, it will be a compute cloud as well.
目前，对点云数据后处理算法的研究还不多。
This paper focuses on the post-processing algorithm of urban scene range images.
点云数据的集中存储通过搭建FTP服务器实现。
为高效精确处理散乱点云数据，改进了区域生长算法。
To deal with scattered measured points effectively and exactly, an improved algorithm of region growing was presented.
而各种因素的综合影响则主要反映在点云数据的精度上。
The combined effects of various factors mainly reflected in the accuracy of 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。
A new region-growing algorithm is presented for triangular mesh surface reconstruction from point-cloud data.
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。
Through the segmentation of the spatial box bounded by point cloud, efficient extraction of boundary information is implemented.
提出了一种新的基于神经网络的点云数据重构CAD光顺造型的新算法。
The paper presents a new approach to CAD model reconstruction from cloud datas using neural networks (NN).
针对点云数据量大的特点，提出了基于非均匀网格的点云数据缩减算法。
This paper proposes an algorithm of data reduction based on asymmetric gridding in connection with the vast amount of point data.
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。
Airborne lidar point cloud filtering is the key of acquiring DSM and DEM with high precision.
通过利用XML的强大功能，可以很容易地将云数据集成到一个现有的企业应用程序中。
By leveraging the power of XML, you can easily integrate cloud data into existing enterprise applications.
第二，研究激光在井下空气中的传播规律及扫描点云数据的误差影响因素。
Secondly, the laser propagation rule in the underground air and error influencing factors of scanning point clouds were studied systematically.
提出点云数据的可视化方法，采用分块的数据组织方式分层可视化点云数据。
The hierarchical visualization methods of point cloud data of blocks organization is proposed.
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.
采用基于线性四叉树的格网索引对点云数据建立索引，对点云数据进行分块提取；
The grid index based on linear quadtree is used to index the point cloud data, extracting the point cloud on the block.
建立了散乱点云数据之间的拓扑信息，对点云数据进行三角剖分重构网格曲面模型。
After establishing the topology relationship of scattered points, the mesh surface model of point data is reconstructed by triangulation.
介绍了3维激光扫描仪研制过程中，把不同测站下的点云数据进行拼接的关键技术。
The key technique of jointing different measure station's data cloud is introduced in 3d laser scanner researching in the paper.
提出了一种基于线元几何与运动方程的旋转体点云数据特征分离与旋转轴提取算法。
This paper presents a new method for an estimation of the axis of rotation based on line element geometry and kine-matic equation.
一般情况下，需要从不同角度进行多次扫描才能获取目标对象的完整点云数据信息。
Normally, several observations will be needed to gain complete information while scanning an object using laser scanner.
客户端上的XML网关还能扫描云数据，看看是否泄露隐私信息或公司的敏感数据。
The XML gateway on the client can also scan cloud-bound data for leakage of private or company-sensitive data.
和Dropbox公司的目标一样，这个软件要建立一个普遍的云数据存储地，与很多程序相容。
As with Dropbox, the goal is to create a common cloud data store that many programs can access.
提出了一种反求工程中基于局部基面参数化方法的点云数据边界特征的自动提取方法。
This paper presented a method for automatic edge points extraction of point data based on local base surface parameterization.
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。
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.
取而代之的是他们个人信息会在服务器的“云数据”中，当周围有有了潜在的爱情时会自动提示他们。
Instead, their personal information will be held on servers in "data clouds" that will alert them automatically when a potential love interest is nearby.
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.
本文研究了反求工程与快速原型制造集成中的关键问题，即如何从点云数据生成层片轮廓数据。
This paper studies how to generate the slice data from point clouds, which is the critical problem in the integration of Reverse Engineering and Rapid Prototyping Manufacturing.
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。
Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.
为保证数据采集的精度和点云数据三维建模的可靠性，给出了详细的包括外业和内业的工作流程。
To ensure the accuracy of the data capturing and the reliability of the three dimension modeling, the working procedure is given, which includes the field work and Lab.
为保证数据采集的精度和点云数据三维建模的可靠性，给出了详细的包括外业和内业的工作流程。
To ensure the accuracy of the data capturing and the reliability of the three dimension modeling, the working procedure is given, which includes the field work and Lab.
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