Authors:
Pedro V. V. de Paiva
;
Camila K. Cogima
;
Eloisa Dezen-Kempter
;
Marco A. G. de Carvalho
and
Lucas R. Cerqueira
Affiliation:
University of Campinas, Brazil
Keyword(s):
BIM, Built Heritage, Image Segmentation, Region Growing, Point Cloud.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration)
;
Segmentation and Grouping
Abstract:
Conservation and maintenance of historic buildings have exceptional requirements and need a detailed diagnosis and an accurate as-is documentation. This paper reports the use of Unmanned Aerial Vehicle (UAV) imagery to create an Intelligent Digital Built Heritage Model (IDBHM) based on Building Information Modeling (BIM) technology. Our work outlines a model-driven approach based on UAV data acquisition, photogrammetry, post-processing and segmentation of point clouds to promote partial automation of BIM modeling process. The methodology proposed was applied to a historical building facade located in Brazil. A qualitative and quantitative assessment of the proposed segmentation method was undertaken through the comparison between segmented clusters and as-designed documents, also as between point clouds and ground control points. An accurate and detailed parametric IDBHM was created from high-resolution Dense Surface Model (DSM). This Model can improve conservation and rehabilitation
works. The results demonstrate that the proposed approach yields good results in terms of effectiveness in the clusters segmentation, compared to the as-designed model.
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