---
name: "pcl_mls_smoothing"
section: "1"
platform: "linux"
package: "pcl-tools"
version: "1.15.0+dfsg-2"
release: "Debian 13 (Trixie)"
platforms: ["linux"]
url: "https://new.carta.tech/pcl_mls_smoothing"
---

# pcl\_mls\_smoothing(1)

pcl\_mls\_smoothing

## NAME

pcl\_mls\_smoothing - pcl\_mls\_smoothing

## DESCRIPTION

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)

## AUTHOR

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).