NAME

       pcl_openni_mls_smoothing - pcl_openni_mls_smoothing

DESCRIPTION

       usage: pcl_openni_mls_smoothing <device_id> <options>

       where options are:

       -search_radius  X  = sphere radius to be used for finding the k-nearest neighbors used for
       fitting (default: 0)

       -sqr_gauss_param X =  parameter  used  for  the  distance  based  weighting  of  neighbors
       (recommended = search_radius^2) (default: 0)

       -use_polynomial_fit  X  =  decides whether the surface and normal are approximated using a
       polynomial or only via tangent estimation (default: 0)

       -polynomial_order X = order of the polynomial to be fit (implicitly, use_polynomial_fit  =
       1) (default: 2)

AUTHOR

       pcl_openni_mls_smoothing 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).