Using RANSAC for 3D point cloud segmentation

TitleUsing RANSAC for 3D point cloud segmentation
Publication TypeJournal Article
Year of Publication2013
AuthorsLuchowski L, Kowalski P
JournalTheoretical and Applied Informatics
Volume25
ISSN1896-5334
AbstractThe 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.

Historia zmian

Data aktualizacji: 18/02/2016 - 15:10; autor zmian: Piotr Gawron (gawron@iitis.pl)