PCL_OUTLIER_REMOVAL(1)

✨ NAME ✨

pcl_outlier_removal — bestie, it's literally pcl_outlier_removal, that's the whole name, iconic 💅

🦋 SYNOPSIS 🦋

pcl_outlier_removal input.pcd output.pcd <options>

🌸 DESCRIPTION 🌸

okay so here's the vibe: syntax is

pcl_outlier_removal input.pcd output.pcd <options>

what it does is Statistical Outlier Removal filtering of a point cloud ✨ (yes that's the whole point of its existence, main character energy fr fr).

want more info? just run:

pcl_outlier_removal -h

and it will spill everything 💖

so, where options are:

• -method X — the outlier removal method to be used, and your choices are 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. 🧚

lowkey obsessed with how tidy that list is, no cap 🫶

💜 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. slay.

This manual page was written by Leopold Palomo-Avellaneda <leo@alaxarxa.net> with the help of the help2man tool and some handmade arrangement for the Debian project (and may be used by others). thank you for your service legend 🫡💖

and that's the whole page bestie, pcl_outlier_removal version 1.7.1, from May 2014, filed under PCL_OUTLIER_REMOVAL(1) — periodt 💅✨🌸