A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
In this article, an accurate method for the registration of point clouds returned by a 3D rangefinder is presented. The method modifies the well‐known iterative closest point (ICP) algorithm by introducing the concept of deletion mask. This term is defined starting from virtual scans of the reconstructed surfaces and using inconsistencies between measurements. In this way, spatial regions of implicit ambiguities, due to edge effects or systematical errors of the rangefinder, are automatically found. Several experiments are performed to compare the proposed method with three ICP variants. Results prove the capability of deletion masks to aid the point cloud registration, lowering the errors of the other ICP variants, regardless the presence of artifacts caused by small changes of the sensor view‐point and changes of the environment.
A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
In this article, an accurate method for the registration of point clouds returned by a 3D rangefinder is presented. The method modifies the well‐known iterative closest point (ICP) algorithm by introducing the concept of deletion mask. This term is defined starting from virtual scans of the reconstructed surfaces and using inconsistencies between measurements. In this way, spatial regions of implicit ambiguities, due to edge effects or systematical errors of the rangefinder, are automatically found. Several experiments are performed to compare the proposed method with three ICP variants. Results prove the capability of deletion masks to aid the point cloud registration, lowering the errors of the other ICP variants, regardless the presence of artifacts caused by small changes of the sensor view‐point and changes of the environment.
A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
Marani, Roberto (author) / Renò, Vito (author) / Nitti, Massimiliano (author) / D'Orazio, Tiziana (author) / Stella, Ettore (author)
Computer‐Aided Civil and Infrastructure Engineering ; 31 ; 515-534
2016-07-01
20 pages
Article (Journal)
Electronic Resource
English
A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
| Online Contents | 2016
Medical image registration using modified iterative closest points
| British Library Online Contents | 2011
Augmenting the Iterative Closest Point (ICP) Alignment Algorithm with Intensity
Online Contents | 2009