Export a Decimated Point Cloud

Overview

This article explains what decimation methods are used for exporting a percentage of points in GeoSLAM Hub software.

• The percentage decimation uses point skipping when iterating through the points, sorted by capture time. This is the fastest way to decimate point clouds as it doesn't require any additional processing of the data. Due to the way the data is captured, this generates a fairly well balanced output, except for at the start and end of the scan where there may be multiple similar overlapping scan lines.
• Spatial decimation is the method we recommend to use in GeoSLAM Hub to generate relatively evenly spaced points. The algorithm divides space into cubes, and picks one point from each cube to represent that cube in the output. This required more processing time, but can give a more visually appealing end result.