point-cloud-library

来源： https://stackoverflow.com/questions/46826720/pclransac-segmentation-get-all-planes-in-cloud

来源： https://stackoverflow.com/questions/46826720/pclransac-segmentation-get-all-planes-in-cloud

来源： https://stackoverflow.com/questions/46826720/pclransac-segmentation-get-all-planes-in-cloud

来源： https://stackoverflow.com/questions/46826720/pclransac-segmentation-get-all-planes-in-cloud

问题 I am using Point cloud library 1.5.1. When I run CMake 3.4.0-rc2 to build my project, it has error: Could NOT find PkgConfig (missing: PKG_CONFIG_EXECUTABLE) How do I fix this error? 回答1: This error is raised because the pkg-config utility is not available on your system. Using PkgConfig with CMake is not a truly cross-platform solution, as Windows does not come with the pkg-config utility installed. (The PCL developers should instead use find_package() in their CMake. Perhaps, this is worth

问题 I've a .ply format model and trying to create a .pcd file one. After checking how .pcd format should look like and writing some code to convert it to .pcd format, my results are that the model is black colored only, instead of multi-colored like the .ply format model. In the .ply format there are 7 parameters in every point line (x,y,z,r,g,b,a) and on .pcd one it should be (x y z rgb). I'm not sure how to evaluate the rgb from the .ply file. Here's some of my .ply file data: ply format ascii

问题 I've a .ply format model and trying to create a .pcd file one. After checking how .pcd format should look like and writing some code to convert it to .pcd format, my results are that the model is black colored only, instead of multi-colored like the .ply format model. In the .ply format there are 7 parameters in every point line (x,y,z,r,g,b,a) and on .pcd one it should be (x y z rgb). I'm not sure how to evaluate the rgb from the .ply file. Here's some of my .ply file data: ply format ascii

问题 Is there a library in python or c++ that is capable of estimating normals of point clouds in a consistent way? In a consistent way I mean that the orientation of the normals is globally preserved over the surface. For example, when I use python open3d package: downpcd.estimate_normals(search_param=o3d.geometry.KDTreeSearchParamHybrid( radius=4, max_nn=300)) I get an inconsistent results, where some of the normals point inside while the rest point outside. many thanks 回答1: If you know the

问题 I am using Xming to get graphical outputs from WSL(Ubuntu). And i have problem with outputs. tutorial output my output why am i getting different results and is there any way to get same outputs? tutorial code visualization part : // Visualization printf( "\nPoint cloud colors : white = original point cloud\n" " red = transformed point cloud\n"); pcl::visualization::PCLVisualizer viewer ("Matrix transformation example"); // Define R,G,B colors for the point cloud pcl::visualization:

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . I have a .PLY file that contains a 3D Point Cloud: I want to plot it and visualize it in Python. The .PLY file contains ONLY vertex and NOT faces. Could you indicate me a simple Python library that will take care of plotting the 3D Point Cloud? It is important to remark that I am not interested in plotting a