Open AccessLeast Squares 3D Algorithm for the Study of Deformations with Terrestrial Laser Scanner
Author(s) -
Vincenzo Barrile,
Giuseppe M. Meduri,
Giuliana Bilotta
Publication year - 2021
Publication title -
international journal of computers
Language(s) - English
Resource type - Journals
ISSN - 1998-4308
DOI - 10.46300/9108.2021.15.8
Subject(s) - point cloud , laser scanning , matching (statistics) , algorithm , scanner , basis (linear algebra) , computer science , point (geometry) , surface (topology) , square (algebra) , least squares function approximation , remote sensing , computer vision , artificial intelligence , mathematics , geology , geometry , laser , statistics , optics , physics , estimator
The application in question is aimed, in the study of deformations of mountain areas, as well as test the TLS applied to a hilly area in two different eras. For this purpose, it was also tested using the algorithm LS3D “Least square 3D surface matching” that allows both the registration of point clouds produced by scans carried out without using targets but, overall, the estimate of deformations that in this case, compared to other methods, is done directly on the basis of the two data sets acquired in two different periods of time t1 and t2.