scholarly journals From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning

2021 ◽  
Vol 13 (3) ◽  
pp. 461
Author(s):  
Valeria Croce ◽  
Gabriella Caroti ◽  
Livio De Luca ◽  
Kévin Jacquot ◽  
Andrea Piemonte ◽  
...  
Keyword(s):  
Machine Learning ◽  
Laser Scanning ◽  
Building Information Modeling ◽  
Point Clouds ◽  
Information Modeling ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Building Information ◽  
Heritage Building ◽  
3D Representations

This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building Information Models from point clouds based on machine learning techniques. The use of digital information systems leveraging on three-dimensional (3D) representations in architectural heritage documentation and analysis is ever increasing. For the creation of such repositories, reality-based surveying techniques, such as photogrammetry and laser scanning, allow the fast collection of reliable digital replicas of the study objects in the form of point clouds. Besides, their output is raw and unstructured, and the transition to intelligible and semantic 3D representations is still a scarcely automated and time-consuming process requiring considerable human intervention. More refined methods for 3D data interpretation of heritage point clouds are therefore sought after. In tackling these issues, the proposed approach relies on (i) the application of machine learning techniques to semantically label 3D heritage data by identification of relevant geometric, radiometric and intensity features, and (ii) the use of the annotated data to streamline the construction of Heritage-Building Information Modeling (H-BIM) systems, where purely geometric information derived from surveying is associated with semantic descriptors on heritage documentation and management. The “Grand-Ducal Cloister” dataset, related to the emblematic case study of the Pisa Charterhouse, is discussed.

scholarly journals INTEGRATING TOPOGRAPHIC, PHOTOGRAMMETRIC AND LASER SCANNING TECHNIQUES FOR A SCAN-TO-BIM PROCESS

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 883-890
Author(s):  
M. Lo Brutto ◽  
E. Iuculano ◽  
P. Lo Giudice
Keyword(s):  
Laser Scanning ◽  
Building Information Modeling ◽  
Laser Scanner ◽  
Point Clouds ◽  
Parametric Modeling ◽  
Information Modeling ◽  
Survey Method ◽  
The Real ◽  
Building Information ◽  
Heritage Building

Abstract. The preservation of historic buildings can often be particularly difficult due to the lack of detailed information about architectural features, construction details, etc.. However, in recent years considerable technological innovation in the field of Architecture, Engineering, and Construction (AEC) has been achieved by the Building Information Modeling (BIM) process. BIM was developed as a methodology used mainly for new construction but, given its considerable potential, this approach can also be successfully used for existing buildings, especially for buildings of historical and architectural value. In this case, it is more properly referred to as Historic – or Heritage – Building Information Modeling (HBIM). In the HBIM process, it is essential to precede the parametric modeling phase of the building with a detailed 3D survey that allows the acquisition of all geometric information. This methodology, called Scan-to-BIM, involves the use of 3D survey techniques for the production of point clouds as a geometric “database” for parametric modeling. The Scan-to-BIM approach can have several issues relating to the complexity of the survey. The work aims to apply the Scan-to-BIM approach to the survey and modeling of a historical and architectural valuable building to test a survey method, based on integrating different techniques (topography, photogrammetry and laser scanning), that improves the data acquisition phase. The “Real Cantina Borbonica” (Cellar of Royal House of Bourbon) in Partinico (Sicily, Italy) was chosen as a case study. The work has allowed achieving the HBIM of the “Real Cantina Borbonica” and testing an approach based exclusively on a topographic constraint to merge in the same reference system all the survey data (laser scanner and photogrammetric point clouds).

scholarly journals USING 3D LASER SCANNING TO ANALYZE HERITAGE STRUCTURES: THE CASE STUDY OF EGYPTIAN PALACE

2020 ◽  
Vol 26 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Mohamed Marzouk
Keyword(s):  
Laser Scanning ◽  
Good Condition ◽  
Point Clouds ◽  
Information Modeling ◽  
Health State ◽  
3D Laser Scanning ◽  
Building Information ◽  
Heritage Buildings ◽  
Heritage Building ◽  
Potential Risks

Preservation of heritage buildings should be carried out to get a better understanding of the behavior of their structures and keep them in a good condition. As such, corrective diagnosis of heritage buildings health conditions would help to identify potential risks and take remedy actions. This paper presents a framework for heritage Building Information Modeling (HBIM) application in Egyptian Heritage buildings. The framework is capable of utilizing processed point clouds using 3D laser scanning to create different purpose BIM models at the different levels of development to simulate the structural performances under different types of actions. The paper illustrates an extensive structural analysis for Tosson palace in Cairo – Egypt to assess its health state to assure its sustainability for future use.

scholarly journals BIM for Existing Construction: A Different Logic Scheme and an Alternative Semantic to Enhance the Interoperabilty

2021 ◽  
Vol 11 (4) ◽  
pp. 1855
Author(s):  
Franco Guzzetti ◽  
Karen Lara Ngozi Anyabolu ◽  
Francesca Biolo ◽  
Lara D’Ambrosio
Keyword(s):  
Project Management ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Historical Buildings ◽  
Architectural Heritage ◽  
New Approach ◽  
Building Information ◽  
Heritage Building ◽  
New Construction

In the construction field, the Building Information Modeling (BIM) methodology is becoming increasingly predominant and the standardization of its use is now an essential operation. This method has become widespread in recent years, thanks to the advantages provided in the framework of project management and interoperability. Hoping for its complete dissemination, it is unthinkable to use it only for new construction interventions. Many are experiencing what happens with the so-called Heritage Building Information Modeling (HBIM); that is, how BIM interfaces with Architectural Heritage or simply with historical buildings. This article aims to deal with the principles and working methodologies behind BIM/HBIM and modeling. The aim is to outline the themes on which to base a new approach to the instrument. In this way, it can be adapted to the needs and characteristics of each type of building. Going into the detail of standards, the text also contains a first study regarding the classification of moldable elements. This proposal is based on current regulations and it can provide flexible, expandable, and unambiguous language. Therefore, the content of the article focuses on a revision of the thinking underlying the process, also providing a more practical track on communication and interoperability.

A Reality Integrated BIM for Architectural Heritage Conservation

2019 ◽  
pp. 142-176
Author(s):  
Fabrizio Ivan Apollonio ◽  
Marco Gaiani ◽  
Zheng Sun
Keyword(s):  
Laser Scanning ◽  
Low Cost ◽  
Point Clouds ◽  
Information Modeling ◽  
Free Form ◽  
Architectural Heritage ◽  
Ideal Model ◽  
Double Curvature ◽  
Building Information ◽  
Architectural Treatises

Building Information Modeling (BIM) has attracted wide interest in the field of documentation and conservation of Architectural Heritage (AH). Existing approaches focus on converting laser scanned point clouds to BIM objects, but laser scanning is usually limited to planar elements which are not the typical state of AH where free-form and double-curvature surfaces are common. We propose a method that combines low-cost automatic photogrammetric data acquisition techniques with parametric BIM objects founded on Architectural Treatises and a syntax allowing the transition from the archetype to the type. Point clouds with metric accuracy comparable to that from laser scanning allows accurate as-built model semantically integrated with the ideal model from parametric library. The deviation between as-built model and ideal model is evaluated to determine if feature extraction from point clouds is essential to improve the accuracy of as-built BIM.

Virtual Reality (VR), Augmented Reality (AR), and Historic Building Information Modeling (HBIM) for Built Heritage Enhancement

2020 ◽  
pp. 111-136
Author(s):  
Fabrizio Banfi ◽  
Daniela Oreni
Keyword(s):  
Augmented Reality ◽  
Building Information Modeling ◽  
Three Dimensional ◽  
Information Modeling ◽  
New Paradigm ◽  
Built Heritage ◽  
Three Dimensional Modeling ◽  
Generative Modeling ◽  
Building Information ◽  
Heritage Building

The latest developments in the field of generative modeling and building information modeling for heritage building (HBIM) have allowed the authors to increase the level of transmissibility of information through the most modern techniques of virtual and augmented reality (VR-AR). This chapter summarises the last years of applied research in the field of three-dimensional modeling oriented to digitise and correctly represent the built heritage thanks to the integration of the most modern three-dimensional survey techniques with a scan-to-BIM process based on new grades of generation (GOG) and accuracy (GOA). The new paradigm of the complexity of the built heritage, its tangible and intangible values, have been shared through new immersive ways able to increase the information contents and the knowledge accumulated in the last years of one of the most representative and unique buildings of the Lombard architecture: the Cà Granda in Milan.

scholarly journals Using 3D Spatial Visualisation to Interpret the Coverage of Anti-Aircraft Batteries on a World War II Battlefield

Heritage ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 2457-2479 ◽  
Author(s):  
Spennemann ◽  
Poynter
Keyword(s):  
World War Ii ◽  
Cultural Landscape ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Aleutian Islands ◽  
Technological Capabilities ◽  
World War ◽  
Building Information ◽  
Aerial Warfare ◽  
Heritage Building

Heritage Building Information Modeling (HBIM) focuses on the documentation and visualization of heritage properties which are confined in their permanent terrestrial space. This paper extended the concept of Heritage Building Information Modeling to the airspace above the sites. It presented a methodology for the 3D spatial visualisation of the aerial space controlled by anti-aircraft (AA) guns, taking into account the masking effects of the underlying terrain and the technological capabilities of the guns (rate of fire, projectile weight, etc.). The tool permits a nuanced analysis of the interplay between attacking aircraft and the siting of anti-aircraft guns and thus, allows for the analysis of the cultural landscape of World War II-era battle fields, which has to take into account the influence of aerial warfare. The applicability was illustrated by the case example of the Japanese WWII base on Kiska (Aleutian Islands).

scholarly journals A Review of Heritage Building Information Modeling (H-BIM)

2018 ◽  
Vol 2 (2) ◽  
pp. 21 ◽  
Author(s):  
Facundo López ◽  
Pedro Lerones ◽  
José Llamas ◽  
Jaime Gómez-García-Bermejo ◽  
Eduardo Zalama
Keyword(s):  
Building Information Modeling ◽  
Information Modeling ◽  
Building Information ◽  
Heritage Building

scholarly journals Hybrid processing of laser scanning data

2018 ◽  
Vol 33 ◽  
pp. 01047 ◽  
Author(s):  
Vladimir Badenko ◽  
Dmitry Zotov ◽  
Alexander Fedotov
Keyword(s):  
Laser Scanning ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Historical Buildings ◽  
Historical Building ◽  
Historic Building ◽  
Technology Application ◽  
Hybrid Technology ◽  
Building Information

In this article the analysis of gaps in processing of raw laser scanning data and results of bridging the gaps discovered on the base of usage of laser scanning data for historic building information modeling is presented. The results of the development of a unified hybrid technology for the processing, storage, access and visualization of combined laser scanning and photography data about historical buildings are analyzed. The first result of the technology application for the historical building of St. Petersburg Polytechnic University shows reliability of the proposed approaches.

scholarly journals Method for clustering and identification of objects in laser scanning point clouds using dynamic logic

2021 ◽  
Author(s):  
Yevgeny Milanov ◽  
Vladimir Badenko ◽  
Vladimir Yadykin ◽  
Leonid Perlovsky
Keyword(s):  
Field Theory ◽  
Laser Scanning ◽  
Dynamic Logic ◽  
Point Clouds ◽  
Information Modeling ◽  
Digital Data ◽  
Neural Modeling ◽  
Multiple Sources ◽  
Building Information ◽  
Spatial Coordinates

Abstract Today there is a gap between a presence of various new equipment on the market which provides streams of various digital data about the environment, in particular in the form of laser scanning point clouds, and the lack of adequate efficient methods and software for information extraction from such data. A solution to the problem of bridging this gap is proposed on the basis of neural modeling field theory and dynamic logic (DL). We present a DL-based method of extracting and analyzing information from hybrid point clouds, which include not only spatial coordinates and intensity, but also the color of each point, and can be from multiple sources including terrestrial, mobile and airborne laser scanning data. The proposed method is significant for creating a fundamental theoretical basis for new application algorithms and software for many new applications, including building information modeling, “smart city” environment, etc. The proposed method is fairly new to solving various problems related to extracting semantically rich information from a nontraditional type of digital data, especially hybrid point clouds created from laser scanning. This method will allow to significantly expand the existing boundaries of knowledge in the field of extraction and analysis of information from various digital data, because neural modeling field theory and DL can improve the performance of relevant calculations and close the existing gap in analysis of digital images.

A Reality Integrated BIM for Architectural Heritage Conservation

2019 ◽  
pp. 900-934
Author(s):  
Fabrizio Ivan Apollonio ◽  
Marco Gaiani ◽  
Zheng Sun
Keyword(s):  
Laser Scanning ◽  
Low Cost ◽  
Point Clouds ◽  
Information Modeling ◽  
Free Form ◽  
Architectural Heritage ◽  
Ideal Model ◽  
Double Curvature ◽  
Building Information ◽  
Architectural Treatises

Building Information Modeling (BIM) has attracted wide interest in the field of documentation and conservation of Architectural Heritage (AH). Existing approaches focus on converting laser scanned point clouds to BIM objects, but laser scanning is usually limited to planar elements which are not the typical state of AH where free-form and double-curvature surfaces are common. We propose a method that combines low-cost automatic photogrammetric data acquisition techniques with parametric BIM objects founded on Architectural Treatises and a syntax allowing the transition from the archetype to the type. Point clouds with metric accuracy comparable to that from laser scanning allows accurate as-built model semantically integrated with the ideal model from parametric library. The deviation between as-built model and ideal model is evaluated to determine if feature extraction from point clouds is essential to improve the accuracy of as-built BIM.

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