RIARTE Home
    • español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   RIARTE Home
  • 2. INVESTIGACIÓN CIENTÍFICA
  • Artículos en revistas científicas
  • View Item
  •   RIARTE Home
  • 2. INVESTIGACIÓN CIENTÍFICA
  • Artículos en revistas científicas
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation

Identifiers
URI: http://hdl.handle.net/20.500.12251/2650
View/Open: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112290875&doi=10.1016%2fj.autcon.2021.103856&partnerID=40&md5=7f318be826d3286f4eaa701ba37703ba
ISSN: 9265805
DOI: 10.1016/j.autcon.2021.103856
Share
Statistics
View Usage Statistics
Metadata
Show full item record
Author
Moyano Campos, Juan José; León, J.; Nieto Julián, Juan Enrique; Bruno, S.
Date
2021
Subject/s

Gemelos Digitales del Patrimonio Cultural (CH)

Escáner Láser 3D

Fotogrametría

Building Information Modeling (BIM)

Algoritmos

Sevilla

Nube de puntos

Modelado tridimensional

Unesco Subject/s

1203.09 Diseño Con Ayuda del Ordenador

2504.04 Fotogrametría Geodésica

1206.01 Construcción de Algoritmos

3310.04 Ingeniería de Mantenimiento

Abstract

The creation of Cultural Heritage (CH) Digital Twins is based on i) the capture of geometric data using digital technologies (laser scanning and photogrammetry); ii) the processing of the raw data to identify, segment and label the objects; and iii) their conversion into BIM objects. Hitherto, the most extensive method for BIM segmentation and modelling is manual, which led to research into the automation of this process, also in the field of CH. Manual operations are still labour-intensive and mathematical approaches are not inclusive for all CH specialists. In this context, this research studies the application of Brodu and Lague's morphological segmentation algorithm called CANUPO to classify the architectural components of the façade of the 16th-century Casa de Pilatos Palace in Seville, Spain, from a Terrestrial Laser Scanning (TLS) point cloud dataset. In this paper, the experimentation on semantic segmentation was carried out using open-source software, specifically the CANUPO algorithm integrated into CloudCompare software. © 2021 Elsevier B.V.

The creation of Cultural Heritage (CH) Digital Twins is based on i) the capture of geometric data using digital technologies (laser scanning and photogrammetry); ii) the processing of the raw data to identify, segment and label the objects; and iii) their conversion into BIM objects. Hitherto, the most extensive method for BIM segmentation and modelling is manual, which led to research into the automation of this process, also in the field of CH. Manual operations are still labour-intensive and mathematical approaches are not inclusive for all CH specialists. In this context, this research studies the application of Brodu and Lague's morphological segmentation algorithm called CANUPO to classify the architectural components of the façade of the 16th-century Casa de Pilatos Palace in Seville, Spain, from a Terrestrial Laser Scanning (TLS) point cloud dataset. In this paper, the experimentation on semantic segmentation was carried out using open-source software, specifically the CANUPO algorithm integrated into CloudCompare software. © 2021 Elsevier B.V.

Collections
  • Artículos en revistas científicas

Browse

All of RIARTECommunities and CollectionsAuthorsTitlesSubjectsUnesco subjectsTypes of documentsThis CollectionAuthorsTitlesSubjectsUnesco subjectsTypes of documents

My Account

LoginRegister

Statistics

View Usage Statistics

Help

About RIARTEFAQLocate informationPoliciesPolítica de Protección de Datos

OA Publishing Policies

Logo SHERPA/RoMEOLogo Dulcinea

Content diffusion

Logo RecolectaLogo Hispana

Copyright © Spanish General Council of Technical Architecture 2018 | Legal notice | Política de Protección de Datos

Facebook
Twitter
Contact Us Send Feedback