ISSN: 2168-9717

Tecnología de ingeniería arquitectónica

Acceso abierto

Nuestro grupo organiza más de 3000 Series de conferencias Eventos cada año en EE. UU., Europa y América. Asia con el apoyo de 1.000 sociedades científicas más y publica más de 700 Acceso abierto Revistas que contienen más de 50.000 personalidades eminentes, científicos de renombre como miembros del consejo editorial.

Revistas de acceso abierto que ganan más lectores y citas
700 revistas y 15 000 000 de lectores Cada revista obtiene más de 25 000 lectores

Indexado en
  • Índice Copérnico
  • Google Académico
  • sherpa romeo
  • Abrir puerta J
  • Revista GenámicaBuscar
  • Claves Académicas
  • Biblioteca de revistas electrónicas
  • Búsqueda de referencia
  • Universidad Hamdard
  • EBSCO AZ
  • OCLC-WorldCat
  • Catálogo en línea SWB
  • Biblioteca Virtual de Biología (vifabio)
  • publones
  • Pub Europeo
Comparte esta página

Abstracto

Automatic Extraction of Facade Details of Heritage Building Using Terrestrial Laser Scanning Data

Kenza Ait el Kadi, Driss Tahiri, Elisabeth Simonetto, Imane Sebari and Hakim Boulaassal

The Terrestrial Laser Scanning (TLS) has become an interesting technology in various fields. The architecture and heritage fields benefit more and more of this technology. In the heritage field, TLS data and derived products are used to complete the digital archive of cultural sites all over the world. Among these cultural sites, we deal with the historical Moroccan sites, especially the old Medina. The rehabilitation of the old Medina requires the reconstruction of facade planes. For that purpose, Moroccan authorities need a precise inventory of all facades. The planes extracted from 3D point cloud provide the desired results. However, the manual process is too long and sometimes difficult. Automatic methods of plane recognition including the point cloud segmentation are generally based on geometric approaches which fail to identify some facade details of such heritage buildings. In this context, we propose a new automatic approach of point cloud segmentation. This approach relies on all the components of a colored point--both geometric and radiometric--combining the RGB values, laser intensity and geometric data. Our approach also includes a new method to filter the segmentation result through Delaunay triangulation. The last step of our processing is the facade and detail contour detection that is based on alpha-shape algorithm to find interior and exterior boundaries. Experiments are performed on facades presenting an example of old Medina architecture located in Casablanca’s Medina. Results show the importance of integrating all point cloud components for the detail facades extraction and planes establishment.

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.