table of contents
- bullseye 1.11.1+dfsg-1+b1
 - testing 1.12.1+dfsg-6+b1
 - unstable 1.13.0+dfsg-3
 - experimental 1.13.0+dfsg-2
 
| PCL_EXTRACT_FEATURE(1) | User Commands | PCL_EXTRACT_FEATURE(1) | 
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).
| May 2014 | pcl_extract_feature 1.7.1 |