Building Information Modeling (BIM) and the Industry Foundation Classes (IFC) standard have become indispensable for ensuring interoperability and semantic consistency across digital construction workflows. Despite this importance, current approaches to IFC geometry extraction and reconstruction often rely heavily on automated software routines. Such reliance tends to obscure the underlying logic of geometric definition and restrict methodological clarity, leaving a gap between abstract IFC descriptions and their practical reconstruction. To address this gap, the present study introduces the Geometry Reconstruction Model (GRM), a methodological framework that formalizes IFC-based reconstruction into a clear, step by step workflow. GRM operates through four successive stages (points, edges, faces, and closed shells) transforming abstract IFC entities into structured volumetric geometry. Unlike existing parsers or validation tools, GRM is not a software application, but a methodological contribution designed to clarify the reconstruction process. Its novelty lies in combining geometric precision with semantic alignment, while also offering educational value by making each stage explicit and bridging the gap between abstract IFC definitions and practical reconstruction. The model was applied to a Living Room case study, where wall elements were reconstructed from IFC data exported via BIM software. This application demonstrated how GRM systematically processes IFC entity chains to produce consistent three-dimensional representations, integrating architectural openings and interior elements. The findings highlight that GRM ensures methodological clarity, reliable outcomes, and semantic coherence, distinguishing it from automated geometry engines. By connecting narrative descriptions of IFC geometry with explicit algorithmic workflows, GRM contributes both to academic research and to practical BIM education. At the same time, the study acknowledges its current scope: openings such as doors, windows, and balconies are linked semantically rather than fully reconstructed geometrically. Future work will extend GRM to larger and more complex projects, enabling broader operational use of the framework.
Recent advances in digital technologies are transforming the production and visualization of 3D models for Augmented Reality (AR), Virtual Reality (VR), and cultural heritage reconstruction. Within this evolving context, ensuring scientifically grounded, transparent, and interpretable reconstruction processes remains e...
F. Apollonio, Federico Fallavollita, R. Foschi· Electronics· 0 citations
This work presents an element-consistent method for extracting interior and exterior surfaces from Industry Foundation Classes (IFC) building models. The approach addresses the geometric and semantic mismatch between terrestrial laser scans representing the as-is state and IFC models describing the as-designed state. R...
Radmir Gesler, R. Richter, Ute Wagner et al.· ISPRS Annals of the Photogra...· 0 citations
Semantic 3D city models (s3DCM) are a key component of urban digital twins (UDT) because they integrate geometry and semantic information in three-dimensional environments. However, generating geometrically consistent and interoperable models remains challenging due to data heterogeneity and the sensitivity of the reco...
Gizela Guzmán Lugo, I. Lizarazo-Salcedo, C. León-Sánchez· ISPRS Annals of the Photogra...· 0 citations
Recent advances in 3D reconstruction have enabled the automated generation of city models from LiDAR point clouds and aerial imagery. Although these methods produce visually convincing models, they are primarily designed for visualization purposes and often lack the geometric and topological quality required for Urban...
O. Roman, G. Agugiaro, Ken Arroyo Ohori et al.· ISPRS Annals of the Photogra...· 0 citations
Structured reconstruction of CAD floor plans is a core component of automatic Building Information Modeling (BIM) generation, indoor spatial analysis, and the digitalization of architectural heritage. To address the key limitations of traditional image processing methods-namely high parameter sensitivity and poor robus...
Min-Kang Deng· Conference on Advanced Algor...· 0 citations
Complex steel structure construction requires stringent geometric accuracy control, yet conventional inspection workflows are often labor-intensive, discontinuous, and insufficient for capturing localized deviations on intricate members and joints. This paper investigates a 3D reconstruction and point cloud data proces...
Yu-Xiu Zhang· International Journal of Ima...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.