point cloud发音

意思翻译

点云

相似词语短语

cloud───n.（Cloud）克劳德（人名）；vt.使混乱；以云遮蔽；使忧郁；玷污；n.云；阴云；云状物；一大群；黑斑；vi.阴沉；乌云密布

low cloud───[气象]低云

shelf cloud───架云

dust cloud───尘埃云；[天]尘云；尘雾；尘云，尘雾; 粉雾

cloud concert───云音乐会

cloud nine───n.九重天（想象中的天堂）；极乐心境；狂喜状态；n.<俚>极乐心境，狂喜状态

dark cloud───乌云；黑云；暗云

disroot cloud───脱根云

backhanded cloud───反手云

双语使用场景

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。

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。

Once you get a decent low density point cloud, you are ready to move on to denser point cloud and the meshing steps.───一旦你得到一个体面的低密度点云，你是准备进入更为密集的点云和啮合步骤。

This allows you to draw a polygon region around the noise points in the point cloud.───这可以让你在周围画一个点云多边形区域的噪声点。

A point cloud is just a collection of points with their associated attributes (position, normal etc) which is usually recorded in a file.───点云与他们的相关属性只是一个点的集合（位置，正常等）通常是在一个文件中记录。

Once your point cloud is free of obvious noise, you are ready to run the Meshing steps to triangulate it.───一旦你的点云是显而易见的，无噪音，你就可以运行它三角啮合步骤。

Including cross-section slice of the point cloud data points for the average effective sample obtained the spray gun spray path.───包括对点云切片截面有效数据点进行平均采样，得到喷枪在工件表面的喷涂路径；

In allusion to the point cloud data from laser scanning technology in reverse engineering, present a curve fitting method.───针对反求工程中的激光随机扫描所产生的散乱点云数据，提出一种曲线拟合方法。

英语使用场景

We use least squre method to form conicoid mathematic model and fit the point cloud which has been grouped by octree subpision method.

The point cloud surface is transformed into a set of geometry images first to low the data storage, and hence to reduce the transmission time greatly.

With the algorithm the revolving axis and the generatrix are extracted through point cloud.

It is necessary to triangulate the point cloud in reverse engineering and rapid prototyping.

The normal and curvature of point cloud model are estimated with PCA (Principal Component Analysis). The adjustment of normal direction is achieved by using Minimum Spanning Tree.

The noises, which come from the 3D Point Cloud data obtained by the Heidelberg Retina Tomograph (HRT), can be smoothed effectively by a bilateral filtering algorithm.

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.

The point cloud obtained from airborne LiDAR is composed of ground points and non - ground points.

This thesis proposes a progressive transmission of point cloud surfaces on the network based on geometry image representation.