TY - JOUR N2 - 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 modifi cations to use RANSAC for such big data sets. L1 - http://journals.pan.pl/Content/93763/mainfile.pdf L2 - http://journals.pan.pl/Content/93763 PY - 2013 IS - No 2 EP - 117 KW - 3D segmentation KW - point cloud KW - RANSAC A1 - Luchowski, Leszek A1 - Kowalski, Przemysław PB - Committee of Informatics of Polish Academy of Science PB - Institute of Theoretical and Applied Informatics of Polish Academy of Science VL - vol. 25 T1 - Using RANSAC for 3D pointcloud segmentation SP - 105 UR - http://journals.pan.pl/dlibra/publication/edition/93763 T2 - Theoretical and Applied Informatics ER -