Using RANSAC for 3D point cloud segmentation
Leszek Luchowski, P. Kowalski · Theoretical and Applied Informatics · 2013
The article presents a method for 3D point cloud segmentation. The point cloud comes from a FARO LS scanner - the device creates a dense point cloud, where 3D points are organized in the 2D table. The input data set consists of millions of 3D points - it makes widely known RANSAC algorithms unusable. We add some modifications to use RANSAC for such big data sets