Automatic Extraction of Facade Details of Heritage Building Using Terrestrial Laser Scanning Data
|Kenza Ait el Kadi1*, Driss Tahiri2, Elisabeth Simonetto3, Imane Sebari4 and Hakim Boulaassal5
|1IAV Hassan II institute, Rabat, Morocco-6202
|2Professor, Department of Photogrammetry, IAV Hassan II Institute, Morocco-6202
|3Assistant Professor, School of Land Surveyors Le Mans, France, 72000
|4Assistant Professor, Department of Photogrammetry, IAV Hassan II Institute, Morocco-6202
|5Assistant Professor, University of Science and Technology, FST, Morocco-416
|*Corresponding Author :
|Kenza Ait el kadi
IAV Hassan II institute, Rabat, Morocco-6202
Tel: +212 37 77 17 45
|Received July 24, 2014; Accepted October 25, 2014; Published November 03, 2014
|Citation: Aitelkadi K, Tahiri D, Simonetto E, Sebari I, Boulaassal H (2014) Automatic Extraction of Facade Details of Heritage Building Using Terrestrial Laser Scanning Data. J Archit Eng Tech 3:133. doi:10.4172/2168-9717.1000133
|Copyright: © 2014 Aitelkadi K, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.