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 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。
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。
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。
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。
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。
The hierarchical visualization methods of point cloud data of blocks organization is proposed.
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。
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。
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 is decimated adaptively, and then a new triangle is generated using sphere-intersected method.
点云被自适应筛选后，利用圆球相交的方法生成新的三角形。
The results show that this point cloud registration error model and the experimental method are excellent.
结果表明点云误差传播模型正确，试验方法良好。
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。
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。
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。
There is noise and defective data on the 3d scanning point cloud. A robust mesh reconstruction algorithm is proposed.
由于3维扫描点云通常存在噪音和缺失数据，提出了一种鲁棒的点云网格重建算法。
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。
The grid index based on linear quadtree is used to index the point cloud data, extracting the point cloud on the block.
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；
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。
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。
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。
Now based on the three-dimensional reconstruction of point cloud, it is to make three-dimensional surface grid model through some algorithm.
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。
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。
This research USES long range 3d laser scanner to scan building construction, in order to record point cloud information in a non-synchronous manner.
本研究主要利用长距离3d雷射扫瞄器针对建筑工程进行扫描，从纪录下来之点云资料进行非同步的工程管理作业。
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。
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。
The paper studys the problem of point cloud data precision after detailed analyzing the principle of airborne LiDAR and the characteristics of point cloud data.
本文在详细分析机载激光雷达工作原理及其点云数据特点的基础上，探讨研究点云数据的精度问题。
An optimization method was presented for best-fitting of measurement point cloud to the complex surfaces, which consists of rough matching and accurate matching.
针对复杂曲面类零件加工余量分析过程中的测量数据匹配问题，提出通过初始匹配和精确匹配来实现曲面测量数据的最佳匹配。
To outline the silhouette of point cloud or mark some special signs on it, a novel approach for creating curves on point cloud with free-hand sketch is presented.
为了勾勒点云的骨架或在点云上标记符号，提出一种基于手绘的点云表面曲线构造方法。
To outline the silhouette of point cloud or mark some special signs on it, a novel approach for creating curves on point cloud with free-hand sketch is presented.
为了勾勒点云的骨架或在点云上标记符号，提出一种基于手绘的点云表面曲线构造方法。
应用推荐