3d Comparison Towards a Comprehensive Analysis of a Building in Cultural Heritage

Abstract

Terrestrial remote sensing techniques, including both Terrestrial Laser Scanning (TLS) and Close-Range Photogrammetry (CRP), have been recently used in multiple applications and projects with particular reference to the documentation/inspection of a wide variety of Cultural Heritage structures.<br> The high density of TLS point cloud data allows to perform structure survey in an unprecedented level of detail, providing a direct solution for the digital three-dimensional modelling, the site restoration and the analysis of the structural conditions. Textural information provided by CRP can be used for the photorealistic representation of the surveyed structure. With respect to many studies, the combination of TLS and CRP techniques produces the best results for Cultural Heritage documentation purposes. Moreover, TLS and CRP point cloud data have been proved to be useful in the field of deformation analysis and structural health monitoring. They can be the input data for the Finite Element Method (FEM), providing some prior knowledge concerning the material and the boundary conditions such as constraints and loading.<br> The paper investigates the capabilities and advantages of TLS and CRP data integration for the three-dimensional modelling compared to a simplified geometric reconstruction. This work presents some results concerning the Baptistery of Aquileia in Italy, characterized by an octagonal plan and walls composed by masonry stones with good texture.

Comparison of two technologies in 3D surveying of Real Estate Assets and Cultural Heritage

“…Since the beginning of 2000, there has been a surge in interest in using 3D point cloud data in the subject of real estate assets and Cultural Heritage, with both academic and corporate sectors actively investigating its possibilities [3]. Terrestrial laser scanners (TLSs) give comprehensive and precise geometric information, but they are expensive, need careful planning of scan locations, and can be timeconsuming to use [4]. In contrast, panoramic multi-camera systems offer a lightweight and affordable alternative [5].…”

Point Cloud Dataset and Fem for a Complex Geometry: The San Luzi Bell Tower Case Study

“…The research of Barazzetti et al (2015) carried out the generation of the model by exploiting a preliminary accurate Building Information Modeling (BIM), through an algorithm able to convert the point cloud dataset into a BIM model and then into a FEM. All the works have a common point: the goal to obtain a reduction of the amount of raw data without losing important details in order to not compromise the final analysis (Selvaggi et al, 2018). Buildings belonging to the Cultural Heritage are often composed by masonry, and their structural behaviour is strongly related to the geometric characteristics of the walls.…”