- Author
- Luchowski L.; Kowalski P.
- Journal
-
Theoretical and Applied Informatics
- Year of Publication
-
2013
- Status
-
Published
- ISSN Number
-
1896-5334
- Number of Pages
-
105–117
- Volume
-
25
- Abstract
-
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.