PCL_NORMAL_ESTIMATION(1)

💖 pcl_normal_estimation(1) 💖

okay bestie, welcome to the group chat for PCL_NORMAL_ESTIMATION(1) — that's the manual name, she's a User Command, and she is so ready to find surface normals for you 🫶

✨ NAME ✨

pcl_normal_estimation — literally just pcl_normal_estimation, that's her name, that's the whole name, no notes 💅

🌸 DESCRIPTION 🌸

The syntax is, and I need you to say it with me:

pcl_normal_estimation input.pcd output.pcd <options> [optional_arguments]

She estimates surface normals using NormalEstimation. That's the whole vibe. If you want more info (and honestly, who doesn't), go hit:

pcl_normal_estimation -h

and she'll tell you everything 💖

so like, where options are:

• -radius X — use a radius of *X*m around each point to figure out the neighborhood, bestie. (default: 0.000000)
• -k X — use a fixed number of X-nearest neighbors around each point instead. (default: 0.000000)

🦋 heads up: for organized datasets, an IntegralImageNormalEstimation approach will be used instead, with the RADIUS given value as the SMOOTHING SIZE. iconic behaviour honestly.

🎀 Optional arguments 🎀

(no cap, these are optional, she said it herself)

• -input_dir X — batch process all PCD files found in input_dir. go off, queen.
• -output_dir X — save the processed files from input_dir in this directory. slay.

👑 AUTHOR 👑

pcl_normal_estimation 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. fr fr, that's the whole mission.

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). we love a humble legend 🫶

k bye ily, this was pcl_normal_estimation 1.7.1, born May 2014, documented for the Debian project — and yeah, she ate 💅✨