logo
Free, unlimited AI code reviews that run on commit
git-lrc git-lrc GitHub Install Now We'd appreciate a star git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt

pcl_extract_feature - pcl_extract_feature

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).

pcl_extract_feature 1.7.1                           May 2014                              PCL_EXTRACT_FEATURE(1)

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)

Name

       pcl_extract_feature - pcl_extract_feature

See Also