NAME

       pcl_outlier_removal - pcl_outlier_removal

DESCRIPTION

       Syntax is: pcl_outlier_removal input.pcd output.pcd <options>

       Statistical  Outlier  Removal  filtering  of  a  point  cloud.  For more information, use:
       pcl_outlier_removal -h

         where options are:

        -method X = the outlier removal  method  to  be  used  (options:  radius  /  statistical)
       (default: radius)

        -radius  X  = (RadiusOutlierRemoval) the sphere radius used for determining the k-nearest
       neighbors (default: 0)

        -min_pts X = (RadiusOutlierRemoval) the minimum number of neighbors that a point needs to
       have in the given search radius in order to be considered an inlier (default: 0)

        -mean_k  X  =  (StatisticalOutlierRemoval  only)  the  number  of  points to use for mean
       distance estimation (default: 2)

        -std_dev_mul X =  (StatisticalOutlierRemoval  only)  the  standard  deviation  multiplier
       threshold (default: 0.000000)

        -negative  X  =  decides whether the inliers should be returned (1), or the outliers (0).
       (default: 0)

        -keep_organized = keep the filtered points in organized format.

AUTHOR

       pcl_outlier_removal 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).