Geometrical approximation and segmentation of laser scanning point clouds
Milev, Ivo & Lothar Grundig
Feature lines are substantial means for the segmentation of measured point clouds, especially if a surface model has to be generated from the data. In this presentation, methods for the automated extraction of feature lines from measured or scanned point clouds will be described. It allows a complete scanning also of the inner geometry of a complex geometrical structures. A geodetic computation of point curvature values is used. These methods can be applied to points from Laser Scanning since they do not require sorted or edited data sets. The mathematical basis for the feature line extraction, experimental results and the limits of the methods will be presented based on the track geometry computation.
Event: 5th FIG Regional Conference for Africa : Promoting Land Administration and Good Governance
Only personal, non-commercial use of this document is allowed.