| PCL_MLS_SMOOTHING(1) | User Commands | PCL_MLS_SMOOTHING(1) |
pcl_mls_smoothing - pcl_mls_smoothing
Syntax is: pcl_mls_smoothing input.pcd output.pcd <options>
Moving Least Squares smoothing of a point cloud. For more information, use: pcl_mls_smoothing -h
where options are:
-radius X= sphere radius to be used for finding the k-nearest
neighbors used for fitting (default: 0.000000)
-sqr_gauss_param X = parameter used for the distance based weighting
of neighbors (recommended = search_radius^2) (default: 0.000000)
-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)
pcl_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).
| May 2014 | pcl_mls_smoothing 1.7.1 |