Provided by: pcl-tools_1.13.0+dfsg-3_amd64
NAME
pcl_extract_feature - pcl_extract_feature
DESCRIPTION
Syntax is: pcl_extract_feature input.pcd output.pcd <options> Extract features from a point cloud. For more information, use: pcl_extract_feature -h where options are: -feature X = the feature descriptor algorithm to be used (default: FPFHEstimation) -n_radius X = use a radius of Xm around each point to determine the neighborhood in normal estimation (default: 0.000000) -n_k X = use a fixed number of X-nearest neighbors around each point in normal estimation (default: 0.000000) -f_radius X = use a radius of Xm around each point to determine the neighborhood in feature extraction (default: 0.000000) -f_k X = use a fixed number of X-nearest neighbors around each point in feature extraction(default: 0.000000)
AUTHOR
pcl_extract_feature is part of Point Cloud Library (PCL) - www.pointclouds.org The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. This manual page was written by Leopold Palomo-Avellaneda <leo@alaxarxa.net> with the help of help2man tool and some handmade arrangement for the Debian project (and may be used by others).