pcl_normal_estimation - pcl_normal_estimation

       pcl_normal_estimation 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_normal_estimation 1.7.1                         May 2014                            PCL_NORMAL_ESTIMATION(1)

       Syntax is: pcl_normal_estimation input.pcd output.pcd <options> [optional_arguments]

       Estimate surface normals using NormalEstimation. For more information, use: pcl_normal_estimation -h

         where options are:

        -radius X = use a radius of Xm around each point to determine the neighborhood (default: 0.000000)

        -k X = use a fixed number of X-nearest neighbors around each point (default: 0.000000)

        For  organized  datasets,  an IntegralImageNormalEstimation approach will be used, with the RADIUS given
       value as SMOOTHING SIZE.

       Optional arguments are:

        -input_dir X  = batch process all PCD files found in input_dir

        -output_dir X = save the processed files from input_dir in this directory

       pcl_normal_estimation - pcl_normal_estimation