---
name: "pcl_outlier_removal"
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_outlier_removal"
---

# pcl\_outlier\_removal(1)

pcl\_outlier\_removal

## 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).