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- Geomagic Qualify processes point cloud data from a 3D scanner. Geomagic Qualify可以处理从3D扫描仪里得到的点云数据。
- Then an improved method, namely translation invariant de noising was proposed. 在此基础上 ,探讨了对传统的阈值方法的改进 ,即平移不变小波变换去噪法。
- The point cloud exists, but no particles are emitted on the first frame. 虽然点云已经存在，但是在第一帧并没有粒子发射出来。
- The application of de noising by soft thresholding on wavelet transform to ultrasonic detection echo is discussed. 研究小波变换软阈值去噪方法在超声检测回波处理中的应用。
- A region-growing algorithm was proposed to reconstruct triangular meshes from unorganized point cloud. 摘要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。
- This paper presented a new method based on nonlinear wavelet transform to image de noising. 提出一种新的非线性小波变换去噪方法 .
- In the end,the statistics of the operational volume of wavelet de noising is made. 最后对小波去噪的运算量进行了统计 .
- In this paper,mean threshold is presented on which wavelet packet de noising is studied. 文中提出了平均阈值的概念 ;并在此基础上研究了小波包去噪的效果 .
- This shader defines each particle within the volume so that the point cloud doesn't look like a single volumetric mass. 这个阴影组的功能是在某个体积内确定每个粒子以便使点云渲染的时候不至于象一个单独的体积块。
- You can have any number of point clouds in a scene. 当发射粒子时，在场景中可以有多个点云存在。
- It has been proved that the wavelet packet de noising is an effective method prior to wavelet de noising. 仿真结果表明 ,基于平均阈值的小波包去噪是一种有效的去噪方法 ,其效果优于小波去噪
- LIDAR data are new data source,and they generate a high spatial resolution "point cloud". 激光雷达(LIDAR)数据是一种新型数据源,它产生的是高密度点云数据。
- In analytical chemistry,wavelet transform has been mainly utilized for signal smoothing,de noising and compression. 在分析化学领域中,小波分析也逐渐应用于去噪与平滑、数据压缩等方面。
- The Particle Volume Cloud shader renders the point cloud's bounding box as a volume. 粒子体积云材质节点是把点云的边界框内的区域作为一个体积来进行渲染。
- This method can triangulate the point cloud, reduce it and smooth it.Finally can get the high-quality fitting curve. 该方法能有效地对点云数据进行三角剖分、精简、平滑去噪处理等操作，并能最终得到满足要求的拟合曲线。
- The result indicates that the wavelet transform has practical value in the performance of de noising and real time processing. 结果表明 ;小波变换在去噪性能和实时处理方面均具有实用价值 .
- It is necessary to triangulate the point cloud in reverse engineering and rapid prototyping. 点云数据三角化处理是逆向工程及快速原型领域中不可缺少的环节。
- Compared with[1],the proposed algorithm can be realized without the a priori knowledge about source directions and de noising preprocessing. 与文献 [1]不同 ;算法的实现不需要方位估计的先验知识和协方差矩阵的去噪预处理 .
- Direct fitting surface with point cloud data obtained from autobody scanning is difficult. 点云数据三角化处理是逆向工程及快速原型领域中不可缺少的环节。
- After making discrete stationary wavelet transform to an infrared image, de noising is done in the high frequency sub bands with better resolution. 对红外图像进行离散平稳小波变换后 ,对分辨率较好的各高频子带直接利用所提出的去噪方法去噪 ;
