point cloud的意思

point cloud中文翻譯：

點云

相似詞語短語

cloud───n.（Cloud）克勞德（人名）；vt.使混亂；以云遮蔽；使憂郁；玷污；n.云；陰云；云狀物；一大群；黑斑；vi.陰沉；烏云密布

low cloud───[氣象]低云

shelf cloud───架云

dust cloud───塵埃云；[天]塵云；塵霧；塵云，塵霧; 粉霧

cloud concert───云音樂會

cloud nine───n.九重天（想象中的天堂）；極樂心境；狂喜狀態；n.<俚>極樂心境，狂喜狀態

dark cloud───烏云；黑云；暗云

disroot cloud───脫根云

backhanded cloud───反手云

雙語使用場景

A region - growing algorithm was proposed to reconstruct triangular meshes unorganized point cloud.───提出一種對無規則點云進行三角網格重構的區域增長算法。

Point cloud morphing is a topic about how to transfer a source model into a target model smoothly.───點云模型漸變研究如何將一個源點云模型平滑的變化成目標點云模型。

The discrete point cloud data sampling from the striation figure is common.───采樣于線狀圖形的離散點云數據也是常見的。

Once you get a decent low density point cloud, you are ready to move on to denser point cloud and the meshing steps.───一旦你得到一個體面的低密度點云，你是準備進入更為密集的點云和嚙合步驟。

This allows you to draw a polygon region around the noise points in the point cloud.───這可以讓你在周圍畫一個點云多邊形區域的噪聲點。

A point cloud is just a collection of points with their associated attributes (position, normal etc) which is usually recorded in a file.───點云與他們的相關屬性只是一個點的集合（位置，正常等）通常是在一個文件中記錄。

Once your point cloud is free of obvious noise, you are ready to run the Meshing steps to triangulate it.───一旦你的點云是顯而易見的，無噪音，你就可以運行它三角嚙合步驟。

Including cross-section slice of the point cloud data points for the average effective sample obtained the spray gun spray path.───包括對點云切片截面有效數據點進行平均采樣，得到噴槍在工件表面的噴涂路徑；

In allusion to the point cloud data from laser scanning technology in reverse engineering, present a curve fitting method.───針對反求工程中的激光隨機掃描所產生的散亂點云數據，提出一種曲線擬合方法。

英語使用場景

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.