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Título
Supporting the automatic extraction of HBIM elements from point clouds
Autor
Año del Documento
2018
Editorial
Springer
Descripción
Producción Científica
Documento Fuente
Cembranos J.R., Fernández J.L., Lerones P.M., Bermejo J.G.G., Casanova E.Z., Ioannides M. (2018) Supporting the Automatic Extraction of HBIM Elements from Point Clouds. In: Ioannides M. et al. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2018. Lecture Notes in Computer Science, vol 11197. Springer, Cham
Résumé
The purpose of this paper is just detailing a state-of-the-art procedure for the automatic recognition of specific 3D shapes from point clouds of immovable heritage assets supported on a tailored tool using PLY, PTX and PTS formats as input files. To make this tool functional and widely used, it is currently developed as a plug-in for the well-known and representative REVIT BIM software package. The procedure is particularly applied to the Castle of Torrelobatón (Valladolid, Spain) to allow the automation in cataloguing of required elements, as illustrative example of the defensive architecture from the Middle age to the Renaissance in Europe, reason why it is one of the pilot sites of the INCEPTION project. Thus the HBIM process is enhanced, which is continuing right through to provide better services to technicians, scholars and citizens.
Materias Unesco
1203.17 Informática
Palabras Clave
HBIM
Façade Parsing
Análisis de fachadas
BIM for existing buildings
BIM para edificios
Point Cloud
Nube de puntos
ISSN
0302-9743
Revisión por pares
SI
Patrocinador
Unión Europea - Programas Marco para Investigación y Desarrollo Tecnológico HORIZON 2020 (grant 665220)
Patrocinador
info:eu-repo/grantAgreement/EC/H2020/665220
Version del Editor
Propietario de los Derechos
© 2018 Springer
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
Aparece en las colecciones
Fichier(s) constituant ce document
Excepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 Internacional