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Fast and Accurate Registration of Terrestrial Point Clouds Using a Planar Approximation of Roof Features

Authors :
Maria Alicandro
Luca Di Angelo
Paolo Di Stefano
Donatella Dominici
Emanuele Guardiani
Sara Zollini
Source :
Remote Sensing, Vol 14, Iss 13, p 2986 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

3D reconstructed models are becoming more diffused daily, especially in the Cultural Heritage field. These geometric models are typically obtained from elaborating a 3D point cloud. A significant limit in using these methods is the realignment of different point clouds acquired from different acquisitions, particularly for those whose dimensions are millions of points. Although several methodologies have tried to propose a solution for this necessity, none of these seems to solve definitively the problems related to the realignment of large point clouds. This paper presents a new and innovative procedure for the fine registration of large point clouds. The method performs an alignment by using planar approximations of roof features, taking the roof’s extension into account. It looks particularly suitable for the alignment of large point clouds acquired in urban and archaeological environments. The proposed methodology is compared in terms of accuracy and time with a standard photogrammetric reconstruction based on Ground Control Points (GCPs) and other ones, aligned by the Iterative Closest Point method (ICP) and markers. The results evidence the excellent performance of the methodology, which could represent an alternative for aligning extensive photogrammetric reconstructions without the use of GCPs.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
13
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.20142d30b9be47bf81341a7f18f88f03
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14132986