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。
Point cloud morphing is a topic about how to transfer a source model into a target model smoothly.
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。
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.
指出了目前点云模型分割技术方法中存在的主要问题；分类介绍和评价了点云分割在相关应用中的研究工作；
The main problems in point cloud segmentation methods were pointed out, and the description and evaluation of point cloud segmentation in related fields were conducted.
点云模型由于具备表示三维细节能力强、存储简单等特点，成为CAD／CG最常用的三维物体表示模型之一。
With its characteristics such as strong detailing ability, and simple storage, 3D point cloud model has been one of the most commonly used three-dimensional objects in CAD/CG.
该算法无需对点云模型进行网格化，无需对点云模型进行局部或全局的曲面重建，适合大规模点云模型上测地线的计算。
This proposed algorithm avoids meshing or reconstructing the point cloud to be local or global surface, and it is suitable for computing geodesic on large scale point cloud.
如果您认为自己的技术领悟力很好，或您身处it领域，那么推进云计算模型的确看起来有一点好处。
If you consider yourself as a technology savvy or else if you are in the field of it, then definitely there would seem to be a little benefit moving towards cloud computing model.
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.
在反求工程中，对称面提取对于点云的几何模型重建具有重要意义。
Symmetry plane extraction is very important to the geometric model reconstruction of an object in reverse engineering.
曲面重建就是根据曲面实物模型的点云，重建其几何和拓扑信息，并再现特征的过程。
Surface reconstruction is reproduction process of geometric topology information and feature bases on surface practicality model.
目前基于点云的三维重建，大都是通过一些算法构造出三维表面网格模型。
Now based on the three-dimensional reconstruction of point cloud, it is to make three-dimensional surface grid model through some algorithm.
介绍了逆向工程的基本概念，基于RE技术上的三维建模方法：数据采集、点云数据处理、三维模型重建。
Introduces the basic conception of the reverse engineering and three-dimensional modeling method based re technology: data gathering, cloud data processing and three-dimensional model rebuilding.
“点云”数据的预处理和曲面重建技术是反求工程的关键技术，是产品CAD模型建立的前提。
Preprocessing of "points cloud" data and surface reconstruction are the critical technology of reverse engineering and are the premises of building product CAD model.
在实物反求中，往往需要将从各个不同视角测得的点云数据进行多视定位，统一到一个全局坐标系下，并经过数据融合使之能够便于后续的模型重建。
In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different view measured cloud data in a global coordinate system.
结果表明点云误差传播模型正确，试验方法良好。
The results show that this point cloud registration error model and the experimental method are excellent.
后扫描数据处理的物体将重建来自3D立体点云的表面的模型。
The object of post-scanning data processing is to reconstruct surface models from 3D point clouds.
将其点云利用一系列的软件转换成三维网格模型。
Its point cloud could be transformed into mesh model by a series of computer software.
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。
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.
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.
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.
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。
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.
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
A method of extracting 3d building model from airborne lidar point cloud was presented.
针对复杂建筑物的点云数据量庞大，通过不同精度的实验确定了模型简化的适宜尺度。
Because the number of complex buildings 'point cloud data is very huge, this paper has determined the suitable criterion of model simplifying through experiments using different accuracy.
提出了针对机载激光雷达点云的建筑物三维模型提取方法。
Virtual Architecture is defined as the 3D model of building, which employ both CAD utensils and Graphics technology.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
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