笔者评：点云库PCL的跨平台性非常好，主要支持windows系列、Linux系列（ubuntu、android等），目前在嵌入式设备和apple系列的操作系统上的支持力度正在提高，不过就笔者经验支持最好的，还是ubuntu，其他还是有些不兼容，毕竟是来自全球的不同操作系统下的各种开发者，有的工具只能在某些系统下编译运行成功。 视频演示的点云处理功能比较简单，对于Voxel Grid和 RANSAC 的平面分割，敬请关注PCL中国官方发布的教程。
KiwiViewer with the Point Cloud Library
In this demonstration video, we show KiwiViewer with the Point Cloud Library on and Apple iPad. First, we load a point cloud data file that has approximately 200,000 points with RGB color information, and was acquired with the PCL OpenNI grabber and a Microsoft Kinect camera. The application has a basic user interface for adjusting parameters. The voxel grid buttons are used to apply the PCL Voxel Grid filter with different grid sizes. Other buttons are used to apply the PCL RANSAC Segmentation filter, fitting a plane model to the point cloud at various distance distance values. Next, a point cloud dataset acquired with a Trimble laser scanner is loaded. This point cloud contains approximately 3.8 million points. It is initially visualized using a voxel grid size of 5 cm. The voxel grid filter is adjusted to a grid size to 1 cm, resulting in 1.3 million points. At the end of the video, the voxel grid filter is disabled and the point cloud is rendered at its original size of 3.8 million points. For more information see http://www.pointclouds.org/news/pcl-goes-mobile-with-ves-and-kiwi.html.