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

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.

Coarse Alignment Methodology of Point Cloud Based on Camera Position/Orientation Estimation Model

“…Alicandro et al [53], Xiong et al [54], and Liu et al [55] conducted research on feature-based registration algorithm targeting indoor and outdoor architectural structures. Alicandro et al [53] conducted research focused on fine registration process for large-scale point clouds.…”

“…Alicandro et al [53], Xiong et al [54], and Liu et al [55] conducted research on feature-based registration algorithm targeting indoor and outdoor architectural structures. Alicandro et al [53] conducted research focused on fine registration process for large-scale point clouds. Their proposed method introduces a novel approach that utilizes planar approximations of geometric features associated with roof structures (PARF).…”