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.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.40.10.
.TH PCL_OUTLIER_REMOVAL "1" "May 2014" "pcl_outlier_removal 1.7.1" "User Commands"
.SH NAME
pcl_outlier_removal \- pcl_outlier_removal
.SH 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 \fB\-h\fR
where options are:
\fB\-method\fR X = the outlier removal method to be used (options: radius / statistical) (default: radius)
\fB\-radius\fR X = (RadiusOutlierRemoval) the sphere radius used for determining the k\-nearest neighbors (default: 0)
\fB\-min_pts\fR 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)
\fB\-mean_k\fR X = (StatisticalOutlierRemoval only) the number of points to use for mean distance estimation (default: 2)
\fB\-std_dev_mul\fR X = (StatisticalOutlierRemoval only) the standard deviation multiplier threshold (default: 0.000000)
\fB\-negative\fR X = decides whether the inliers should be returned (1), or the outliers (0). (default: 0)
\fB\-keep_organized\fR = keep the filtered points in organized format.
.SH 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.
.PP
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).
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