00702nas a2200157   4500000000100000000000100001000000100002008004100003100002100044700002500065245004900090300001400139490000700153520037000160022001400530       2013                            d1 aLeszek Luchowski1 aPrzemysław Kowalski00aUsing RANSAC for 3D point cloud segmentation  a105–1170 v253 aThe 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.  a1896-5334