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).

pcl_outlier_removal 1.7.1                           May 2014                              PCL_OUTLIER_REMOVAL(1)