Syntax is: pcl_normal_estimation input.pcd output.pcd <options> [optional_arguments]
Estimate surface normals using NormalEstimation. For more information, use: pcl_normal_estimation -h
where options are:
-radius X = use a radius of Xm around each point to determine the neighborhood (default: 0.000000)
-k X = use a fixed number of X-nearest neighbors around each point (default: 0.000000)
For organized datasets, an IntegralImageNormalEstimation approach will be used, with the RADIUS given value as SMOOTHING SIZE.
Optional arguments are:
-input_dir X = batch process all PCD files found in input_dir
-output_dir X = save the processed files from input_dir in this directory
AUTHORpcl_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.
This manual page was written by Leopold Palomo-Avellaneda <[email protected]> with the help of help2man tool and some handmade arrangement for the Debian project (and may be used by others).